1 00:00:02,200 --> 00:00:06,800 Speaker 1: This is Masters in Business with Barry Ridholts on Boomberg Radio. 2 00:00:07,840 --> 00:00:11,680 Speaker 1: This week. On the podcast, I have Dana Telsey, and 3 00:00:11,760 --> 00:00:15,800 Speaker 1: if you follow retail stocks at all for any period 4 00:00:15,840 --> 00:00:19,520 Speaker 1: of time, you should probably know the name Telsey. She's 5 00:00:19,560 --> 00:00:23,120 Speaker 1: been an analyst UH and a fixture on financial media 6 00:00:23,239 --> 00:00:28,080 Speaker 1: for a long time. She is just full of energy, 7 00:00:28,280 --> 00:00:31,920 Speaker 1: covers a ton of stuff. You may have to slow 8 00:00:31,960 --> 00:00:34,199 Speaker 1: this podcast down because between the two of us, we 9 00:00:34,200 --> 00:00:38,760 Speaker 1: were both speaking so quickly. By coincidence, we both used 10 00:00:38,760 --> 00:00:41,360 Speaker 1: to have our offices in the same building, and I 11 00:00:41,400 --> 00:00:44,600 Speaker 1: was always bumping into her, usually when she was running 12 00:00:44,600 --> 00:00:46,519 Speaker 1: out of the building to catch a plane or or 13 00:00:46,560 --> 00:00:50,959 Speaker 1: something like that. She's pretty much always in motion. I 14 00:00:51,000 --> 00:00:54,200 Speaker 1: find her really fascinating. She covers a lot of retail 15 00:00:54,440 --> 00:00:57,440 Speaker 1: and does it in a way that I don't know 16 00:00:57,480 --> 00:01:01,440 Speaker 1: if other retail analysts spend nearly as much time as 17 00:01:01,520 --> 00:01:07,040 Speaker 1: she and her colleagues do in stores with management, kicking tires, 18 00:01:07,080 --> 00:01:11,240 Speaker 1: looking at looking at malls, looking at at various shopping experiences, 19 00:01:11,319 --> 00:01:16,200 Speaker 1: looking at all these different channels that consumers could go 20 00:01:16,240 --> 00:01:20,200 Speaker 1: out and consume goods. Um She's She's one of the 21 00:01:20,280 --> 00:01:26,360 Speaker 1: most intriguing and highly ranked retail analysts on the street. 22 00:01:26,920 --> 00:01:31,119 Speaker 1: If you are all interested in any of the consumer 23 00:01:31,160 --> 00:01:34,880 Speaker 1: and retailing stocks, and that's everything from Apple and Amazon 24 00:01:35,120 --> 00:01:39,839 Speaker 1: to Lord and Taylor's, Nordstrom, Macy's two things like Starbucks 25 00:01:40,000 --> 00:01:43,800 Speaker 1: or or shake Shack. Her firm is called the Telsey 26 00:01:43,880 --> 00:01:48,000 Speaker 1: Advisory Group or tag get it retail tag Um. They 27 00:01:48,040 --> 00:01:51,800 Speaker 1: really cover everything. They do a pretty substantial job. They're 28 00:01:51,880 --> 00:01:55,680 Speaker 1: highly highly regarded, and I find talking to her about 29 00:01:55,680 --> 00:01:58,680 Speaker 1: retail to be a whirlwinds. She she may be the 30 00:01:58,720 --> 00:02:01,280 Speaker 1: single most knowledgeable part US and I've ever encountered when 31 00:02:01,320 --> 00:02:07,240 Speaker 1: it comes to the world of retail, consumer spending, retail shopping, 32 00:02:07,280 --> 00:02:09,880 Speaker 1: retail sales, and all the companies that exist within it. 33 00:02:10,000 --> 00:02:13,080 Speaker 1: So if you are all interested in that space, I 34 00:02:13,080 --> 00:02:16,640 Speaker 1: think you're gonna find this to be a fascinating conversation. So, 35 00:02:16,720 --> 00:02:21,720 Speaker 1: with no further ado, here is my conversation with Dana Telsey. 36 00:02:23,880 --> 00:02:28,480 Speaker 1: This is Masters in Business with Barry Ridholts on Bloomberg Radio. 37 00:02:29,400 --> 00:02:32,640 Speaker 1: This week. My special guest is Dana Telsey of the 38 00:02:32,720 --> 00:02:38,040 Speaker 1: Telsey Advisory Group. She is a retail analyst extraordinaire. I've 39 00:02:38,040 --> 00:02:43,240 Speaker 1: been following Dana for forever. She was an analyst, institutional 40 00:02:43,280 --> 00:02:46,560 Speaker 1: investor top rated for thirteen years. You were at bear 41 00:02:46,560 --> 00:02:48,400 Speaker 1: Stearns for a good couple of years right now, it's 42 00:02:48,440 --> 00:02:51,160 Speaker 1: there for twelve years, twelve years, and and we'll talk 43 00:02:51,160 --> 00:02:54,280 Speaker 1: about her timing in her exit was perfect. Dana Telsey, 44 00:02:54,440 --> 00:02:57,040 Speaker 1: Welcome to Bloomberg. Thank you so much, very great to 45 00:02:57,040 --> 00:02:59,800 Speaker 1: be here. Thank you for having me. My pleasure. So 46 00:03:00,120 --> 00:03:04,840 Speaker 1: began with Ron Barron, which was a seventeen billion dollar firm, 47 00:03:04,960 --> 00:03:08,000 Speaker 1: and you really started at the bottom, right You began 48 00:03:08,080 --> 00:03:11,480 Speaker 1: as a secretary. I was Ron's assistant. I was so fortunate. 49 00:03:11,560 --> 00:03:13,120 Speaker 1: I grew up in the city. You lived in the 50 00:03:13,160 --> 00:03:15,680 Speaker 1: same building as my family, and I knew him from 51 00:03:15,680 --> 00:03:17,919 Speaker 1: when he first started the company. So I learned from 52 00:03:18,080 --> 00:03:20,720 Speaker 1: best in class of pro and he taught me how 53 00:03:20,720 --> 00:03:24,200 Speaker 1: to understand stocks, how to understand companies, and also how 54 00:03:24,200 --> 00:03:28,400 Speaker 1: to read management teams. He believes in long term investing, 55 00:03:28,600 --> 00:03:31,680 Speaker 1: he believes in guard value at a reasonable price, and 56 00:03:31,760 --> 00:03:34,600 Speaker 1: he basically believes in the brand of a business kennot grow. 57 00:03:34,840 --> 00:03:37,040 Speaker 1: And that's what I learned from Ron. I was so fortunate. 58 00:03:37,200 --> 00:03:40,040 Speaker 1: So so you start working really at a very junior 59 00:03:40,080 --> 00:03:43,160 Speaker 1: position and eventually you get you go through the c 60 00:03:43,320 --> 00:03:46,560 Speaker 1: f A processes that right NBA process, NBA process. Okay, 61 00:03:46,760 --> 00:03:48,720 Speaker 1: I want at night to business school, so you get 62 00:03:48,720 --> 00:03:50,440 Speaker 1: your m b A. And then how do you then 63 00:03:50,560 --> 00:03:54,200 Speaker 1: morph into a full time analysts? Went to the South 64 00:03:54,240 --> 00:03:56,680 Speaker 1: Side on the brokerage side, and frankly before that, I 65 00:03:56,760 --> 00:03:59,600 Speaker 1: was fortunate to be in a Bye Side investor group 66 00:03:59,640 --> 00:04:01,720 Speaker 1: of some of the best names in the business, like 67 00:04:01,720 --> 00:04:04,840 Speaker 1: Steve Mandel of Lone Pine, where we got to exchange 68 00:04:04,840 --> 00:04:07,000 Speaker 1: ideas on a monthly basis. And then I went to 69 00:04:07,040 --> 00:04:10,160 Speaker 1: the South Side and basically went to C J. Lawrence, 70 00:04:10,240 --> 00:04:14,560 Speaker 1: which was a terrific platform, fantastic people, and I got 71 00:04:14,600 --> 00:04:18,880 Speaker 1: to learn how analysts sell their product and basically that's 72 00:04:18,880 --> 00:04:21,600 Speaker 1: why it's called sell side to the buy side. I 73 00:04:21,640 --> 00:04:23,640 Speaker 1: was there for three years before they got acquired by 74 00:04:23,680 --> 00:04:26,360 Speaker 1: Deutsche Bank, and then was at bear Sterns for twelve years. 75 00:04:26,440 --> 00:04:28,520 Speaker 1: You're a bear Sterns for a long time. How do 76 00:04:28,600 --> 00:04:33,680 Speaker 1: you morph into a retail analyst from really? Did you 77 00:04:33,720 --> 00:04:36,560 Speaker 1: start as a generalist or were you always attracted to retail. 78 00:04:36,680 --> 00:04:38,839 Speaker 1: I've tried everything. When I was at Ron's for a minute, 79 00:04:38,880 --> 00:04:41,200 Speaker 1: he gave me the latitude. I tried being a traitor, 80 00:04:41,279 --> 00:04:44,240 Speaker 1: I tried being a salesperson and what I liked about 81 00:04:44,279 --> 00:04:47,240 Speaker 1: it is I liked being being an expert. I really 82 00:04:47,279 --> 00:04:51,159 Speaker 1: liked the idea of not doing research, talking with companies, 83 00:04:51,400 --> 00:04:54,720 Speaker 1: talking with experts, and understanding and pulling apart the ten 84 00:04:54,839 --> 00:04:57,360 Speaker 1: k's and the ten queues because it all tells a story. 85 00:04:57,640 --> 00:05:01,880 Speaker 1: So I'm about storytelling. So so what makes following retail 86 00:05:02,480 --> 00:05:06,240 Speaker 1: different than other types of UM analysts. There there's a 87 00:05:06,440 --> 00:05:10,640 Speaker 1: very different energy and a very different focus for for 88 00:05:10,680 --> 00:05:13,640 Speaker 1: the people who follow the retailers than the people who 89 00:05:13,640 --> 00:05:16,600 Speaker 1: follow tech refinance or what have you. So keep in mind, yes, 90 00:05:16,640 --> 00:05:18,400 Speaker 1: I worked for Ron Barren, but since I grew up 91 00:05:18,400 --> 00:05:20,799 Speaker 1: in the city, my family had a bookstore on Madison Avenue. 92 00:05:21,040 --> 00:05:23,640 Speaker 1: My grandfather was cash register number one, my mother was 93 00:05:23,720 --> 00:05:26,400 Speaker 1: cash register number two, when I was cash registered number three. 94 00:05:26,839 --> 00:05:29,800 Speaker 1: So being able to understand that retail is detail and 95 00:05:29,920 --> 00:05:33,479 Speaker 1: understand the complexity of the story, that's what makes retail fun. 96 00:05:33,680 --> 00:05:35,240 Speaker 1: You could feel it. You can go in a store, 97 00:05:35,279 --> 00:05:38,159 Speaker 1: you can talk to customers. But today the world's changed 98 00:05:38,320 --> 00:05:42,240 Speaker 1: because online and the Internet has really made things different 99 00:05:42,240 --> 00:05:44,880 Speaker 1: than what it was. But you need physical and digital 100 00:05:45,120 --> 00:05:47,800 Speaker 1: in order to really capture the consumer. We're gonna spend 101 00:05:47,839 --> 00:05:50,200 Speaker 1: some more time talking about online in a little bit. 102 00:05:50,720 --> 00:05:53,680 Speaker 1: But I recall back when you were at bear Stearns, 103 00:05:54,040 --> 00:05:59,000 Speaker 1: you were notorious for doing a lot of of what 104 00:05:59,000 --> 00:06:01,520 Speaker 1: what you call resa, what I would call shopping. But 105 00:06:01,640 --> 00:06:05,600 Speaker 1: you literally, my wife calls it retail therapy. You literally 106 00:06:05,680 --> 00:06:09,240 Speaker 1: during the holidays and during major seasons, you're checking off boxes, 107 00:06:09,279 --> 00:06:12,800 Speaker 1: You're going to thousands and thousands of stores, stores and locations. 108 00:06:13,240 --> 00:06:16,440 Speaker 1: How aggressive are you aggressively? Are you out in the 109 00:06:16,480 --> 00:06:19,440 Speaker 1: actual retail environed constantly? I mean, I believe that you 110 00:06:19,520 --> 00:06:21,760 Speaker 1: can't sit at your desk and know what's happening in 111 00:06:21,800 --> 00:06:25,839 Speaker 1: the field, so essentially everywhere from Chicago and Boston last week, 112 00:06:25,880 --> 00:06:28,880 Speaker 1: the West Coast. I was in London Monday and Tuesday 113 00:06:28,880 --> 00:06:31,080 Speaker 1: of this week. I need to be able to feel 114 00:06:31,080 --> 00:06:34,920 Speaker 1: it myself. What's moving, what's checking, what's left on sale, 115 00:06:35,200 --> 00:06:38,520 Speaker 1: what bags are the consumers carrying, and how is the 116 00:06:38,520 --> 00:06:41,400 Speaker 1: sales staff approaching them. If you don't feel it yourself, 117 00:06:41,440 --> 00:06:43,240 Speaker 1: you're not going to know what a brand is. So 118 00:06:43,400 --> 00:06:45,839 Speaker 1: retail is detail and the pulse of it to me 119 00:06:46,160 --> 00:06:49,000 Speaker 1: is being able to see the shoppers. How much do 120 00:06:49,080 --> 00:06:53,880 Speaker 1: you put yourself at risk for foreign prey to anecdotal evidence, 121 00:06:53,920 --> 00:06:56,720 Speaker 1: we all know Manhattan is in America, It's a very 122 00:06:56,760 --> 00:07:00,840 Speaker 1: different place, and I'm constantly checking myself off as we're 123 00:07:00,880 --> 00:07:04,280 Speaker 1: first coming out of the recession. Looks like things are 124 00:07:04,320 --> 00:07:06,440 Speaker 1: doing pretty well now when the rest of the country 125 00:07:06,600 --> 00:07:10,560 Speaker 1: clearly wasn't wasn't where Manhattan was post bailouts. That's why 126 00:07:10,560 --> 00:07:12,720 Speaker 1: I do those shopping tours around the country, and that's 127 00:07:12,720 --> 00:07:15,800 Speaker 1: why my team and I whether they're in Tennessee, whether 128 00:07:15,840 --> 00:07:19,200 Speaker 1: they're in California, whether they're in Chicago, you can't These 129 00:07:19,240 --> 00:07:21,760 Speaker 1: companies have thousands of stores, so at least you're going 130 00:07:21,800 --> 00:07:23,600 Speaker 1: to get a pulse and you're gonna get a read 131 00:07:23,840 --> 00:07:27,080 Speaker 1: what's working. And frankly, having combined that also on the 132 00:07:27,120 --> 00:07:30,520 Speaker 1: international scope, that helps to seeing what a prime mark 133 00:07:30,520 --> 00:07:33,200 Speaker 1: could mean in the US when prime Mark is based 134 00:07:33,240 --> 00:07:36,200 Speaker 1: in the UK and that's where they're real retail presences 135 00:07:36,280 --> 00:07:38,680 Speaker 1: along with the continent of Europe. I want to know 136 00:07:39,080 --> 00:07:41,480 Speaker 1: what the US has now and what's coming and what 137 00:07:41,560 --> 00:07:45,160 Speaker 1: could be impacting it. I look for change. How important 138 00:07:45,520 --> 00:07:48,480 Speaker 1: are the macro environments? Do you look at things like 139 00:07:49,080 --> 00:07:53,200 Speaker 1: interest rates, inflation, the cost of the dollar. What does 140 00:07:53,240 --> 00:07:57,440 Speaker 1: the macro concerns do to for a retail analyst A lot. 141 00:07:57,520 --> 00:07:59,640 Speaker 1: I mean, look at today it's all about tax reform. 142 00:07:59,720 --> 00:08:01,920 Speaker 1: What that gonna mean? What could it mean? What do 143 00:08:02,040 --> 00:08:05,720 Speaker 1: these border adjusted taxes mean? The macro provides the framework 144 00:08:05,960 --> 00:08:09,360 Speaker 1: and companies need to curate the landscape. So I'm constantly 145 00:08:09,360 --> 00:08:13,440 Speaker 1: looking at it because it gives a gauge. Macro provides 146 00:08:13,480 --> 00:08:17,040 Speaker 1: the framework and the companies need to curate for the landscape. 147 00:08:17,080 --> 00:08:18,760 Speaker 1: So what I mean by that is, well, all of 148 00:08:18,800 --> 00:08:21,520 Speaker 1: a sudden, unemployment is getting lower. Well, then what should 149 00:08:21,560 --> 00:08:25,400 Speaker 1: companies be doing, whether in discretionary goods, in price points, 150 00:08:25,400 --> 00:08:28,720 Speaker 1: in articles that they're selling. Should it be different, should 151 00:08:28,720 --> 00:08:31,400 Speaker 1: it be more luxurious goods or what could be a 152 00:08:31,440 --> 00:08:34,840 Speaker 1: little bit more expensive? Is consumers can afford it. Companies 153 00:08:34,880 --> 00:08:37,600 Speaker 1: today have more data and know more about their customer 154 00:08:37,640 --> 00:08:42,079 Speaker 1: than ever, both from online and from physical. Therefore, balancing 155 00:08:42,120 --> 00:08:46,400 Speaker 1: inventory with what consumers really want is something they're able 156 00:08:46,440 --> 00:08:48,600 Speaker 1: to manage better today than they were in the past. 157 00:08:48,840 --> 00:08:52,400 Speaker 1: Macro helps provide that. I'm Barry Hults. You're listening to 158 00:08:52,600 --> 00:08:55,680 Speaker 1: Masters in Business on Bloomberg Radio. My guest today is 159 00:08:55,840 --> 00:08:59,600 Speaker 1: Dana Telsey. She is best known as a retail analysts. 160 00:08:59,600 --> 00:09:02,000 Speaker 1: You can run is the tels the advisory group and 161 00:09:02,040 --> 00:09:05,200 Speaker 1: spent a dozen years or so at bear Stearns. Let's 162 00:09:05,200 --> 00:09:09,240 Speaker 1: talk a little bit about online retail. Uh this holiday season, 163 00:09:09,280 --> 00:09:13,520 Speaker 1: it seems like like every other year it's Amazon and 164 00:09:13,600 --> 00:09:16,960 Speaker 1: everybody else? Is that still the case? That is still 165 00:09:17,000 --> 00:09:19,880 Speaker 1: the case. It is Amazon and than everyone else. Whether 166 00:09:19,960 --> 00:09:22,560 Speaker 1: you're a physical retailer, people are talking about do you 167 00:09:22,600 --> 00:09:25,439 Speaker 1: sell on Amazon? Where they're a digital retailer, do you 168 00:09:25,480 --> 00:09:29,040 Speaker 1: want to sell on Amazon? And essentially it's new categories 169 00:09:29,040 --> 00:09:31,480 Speaker 1: and new brands that are emerging all of a sudden. 170 00:09:31,520 --> 00:09:34,840 Speaker 1: Businesses like consignment, the real real or threat up or 171 00:09:34,880 --> 00:09:39,280 Speaker 1: trades A. That's what we're hearing emerge. But Amazon has 172 00:09:39,320 --> 00:09:41,480 Speaker 1: not been that strong in apparel. They've been strong in 173 00:09:41,520 --> 00:09:44,840 Speaker 1: other categories because Amazon is more of an item business. 174 00:09:44,880 --> 00:09:47,520 Speaker 1: But you know they'll learn that too. And we think 175 00:09:47,559 --> 00:09:50,240 Speaker 1: Amazon is going to continue to be someone and continue 176 00:09:50,240 --> 00:09:53,280 Speaker 1: to be a business model that needs to be studied carefully. Well. 177 00:09:53,320 --> 00:09:57,640 Speaker 1: They did the Zappos acquisition, which was for shoes and sneakers. 178 00:09:58,280 --> 00:10:00,360 Speaker 1: I think they did that as much to learned that 179 00:10:00,400 --> 00:10:05,360 Speaker 1: business as anything else. But are are apparel different than Look, 180 00:10:05,400 --> 00:10:07,720 Speaker 1: we all buy books and and those of us who 181 00:10:07,760 --> 00:10:11,280 Speaker 1: still buy CDs and DVDs, as well as electronics and 182 00:10:11,320 --> 00:10:17,160 Speaker 1: gadgets on on Amazon. Can you translate the fit and 183 00:10:17,280 --> 00:10:20,880 Speaker 1: feel of a garment from a real store to online 184 00:10:20,960 --> 00:10:23,000 Speaker 1: or is that always going to be a big advantage 185 00:10:23,040 --> 00:10:25,480 Speaker 1: to physical brick and motory. The word always is a 186 00:10:25,559 --> 00:10:29,200 Speaker 1: dangerous word because some always always changes. And what we've 187 00:10:29,200 --> 00:10:32,240 Speaker 1: been seeing is that on Amazon it feels to us 188 00:10:32,280 --> 00:10:35,319 Speaker 1: like the best selling items or some of the replenishment 189 00:10:35,360 --> 00:10:39,160 Speaker 1: items in apparel underwear, for example, seems very strong. Yet 190 00:10:39,400 --> 00:10:41,640 Speaker 1: in other words, you know what you're gonna get, and 191 00:10:41,679 --> 00:10:45,360 Speaker 1: now you're just price shopping to replace the repeatable, replenishable purchase. 192 00:10:45,640 --> 00:10:49,640 Speaker 1: But collection items and designer where that doesn't do as well. 193 00:10:49,720 --> 00:10:53,000 Speaker 1: We're not seeing brands look to adopt Amazon yet because 194 00:10:53,000 --> 00:10:55,560 Speaker 1: they're not putting them in an environment that's unique and 195 00:10:55,600 --> 00:10:59,040 Speaker 1: differentiated for them. That's today. We'll see what happens over 196 00:10:59,080 --> 00:11:02,000 Speaker 1: the next few years if as they scale the business. 197 00:11:02,200 --> 00:11:05,400 Speaker 1: I'm holiday shopping, I'm looking for something fun and funky. 198 00:11:05,600 --> 00:11:10,440 Speaker 1: Bloomberg actually had a best Pajamas to Buy and they 199 00:11:10,600 --> 00:11:14,720 Speaker 1: ranged from fifty bucks to nine hundred dollars, and somewhere 200 00:11:14,720 --> 00:11:16,360 Speaker 1: in the middle of that, a hundred and fifty dollars. 201 00:11:16,400 --> 00:11:19,600 Speaker 1: I found this great set of pajamas. I couldn't find 202 00:11:19,600 --> 00:11:23,320 Speaker 1: it on Amazon. I ordered it from the manufacturer and 203 00:11:23,320 --> 00:11:25,560 Speaker 1: then I went back and I did tweak the search 204 00:11:25,600 --> 00:11:28,000 Speaker 1: a little bit and lo and behold, the right size, 205 00:11:28,000 --> 00:11:31,840 Speaker 1: the right color comes up in that manufacturer, and um, 206 00:11:31,840 --> 00:11:33,800 Speaker 1: and it was fired. I was cheaper on Amazon then 207 00:11:33,880 --> 00:11:37,480 Speaker 1: from the retailer direct. It's it's amazing. And isn't everyone 208 00:11:37,520 --> 00:11:40,280 Speaker 1: an Amazon Prime member? It certainly seems what they've done 209 00:11:40,280 --> 00:11:42,880 Speaker 1: with Prime the synonym for Amazon is the word scale, 210 00:11:43,280 --> 00:11:46,760 Speaker 1: and is they put more categories to basically make you 211 00:11:46,760 --> 00:11:49,280 Speaker 1: want to continue renewing that Prime membership, Like what they're 212 00:11:49,280 --> 00:11:53,560 Speaker 1: doing with media, it's all encompassing. Yes, So Amazon Music, 213 00:11:53,640 --> 00:11:57,800 Speaker 1: Amazon Video. It's amazing and the latest thing I discovered 214 00:11:57,800 --> 00:11:59,640 Speaker 1: on Amazon, And I don't want to just talk about 215 00:11:59,640 --> 00:12:02,680 Speaker 1: Amazon on Over the summer, we bought a TV. It's 216 00:12:02,720 --> 00:12:05,679 Speaker 1: for the basement by the treadmill. And months go by 217 00:12:05,720 --> 00:12:07,800 Speaker 1: and I don't hang it, and finally it's like, all right, 218 00:12:07,880 --> 00:12:10,680 Speaker 1: I gotta get this thing up and I go back 219 00:12:10,679 --> 00:12:12,439 Speaker 1: to the store. I got it, and they want four 220 00:12:12,800 --> 00:12:14,720 Speaker 1: dollars to install it, and I'm like, that's what the 221 00:12:14,760 --> 00:12:19,040 Speaker 1: TV cost? Thanks? I go back to a Google search, 222 00:12:19,120 --> 00:12:23,080 Speaker 1: thinking Angie's List or something, they'll come up. Amazon comes up. 223 00:12:23,240 --> 00:12:29,000 Speaker 1: It's to have a television hung on the wall. It's amazing. 224 00:12:29,320 --> 00:12:32,080 Speaker 1: And then you realize, oh, wait a second. They're just 225 00:12:32,320 --> 00:12:36,600 Speaker 1: a matchmaker between the consumer and the service provider and 226 00:12:36,640 --> 00:12:38,920 Speaker 1: they take their pound of flesh. It cost them nothing 227 00:12:38,960 --> 00:12:41,120 Speaker 1: to do this. It's pretty amazing. I mean, and now 228 00:12:41,280 --> 00:12:43,720 Speaker 1: they're focused on that last mile. They want to be 229 00:12:43,760 --> 00:12:45,840 Speaker 1: able to make sure that you're getting what you need 230 00:12:45,880 --> 00:12:47,440 Speaker 1: when you want it, because they want you to renew 231 00:12:47,480 --> 00:12:49,960 Speaker 1: that prime membership. So so you could do plumbing, you 232 00:12:50,000 --> 00:12:53,480 Speaker 1: could do yard work, you could do contracting, you could 233 00:12:53,520 --> 00:12:56,640 Speaker 1: do there's a whole run of Amazon services that I 234 00:12:56,720 --> 00:13:01,400 Speaker 1: had no idea that they actually provided it. It's quite astonished. 235 00:13:01,440 --> 00:13:04,840 Speaker 1: So so outside of Amazon and Amazon Home Services and 236 00:13:05,200 --> 00:13:09,000 Speaker 1: and all that stuff, who else is doing online? Right? 237 00:13:09,480 --> 00:13:11,560 Speaker 1: I think you're seeing things from the real real I 238 00:13:11,559 --> 00:13:15,000 Speaker 1: think Wayfair is doing interesting things online. I think what 239 00:13:15,080 --> 00:13:18,880 Speaker 1: you've seen from Binobo's, what you've seen from Dollar Shave Club. 240 00:13:19,240 --> 00:13:22,560 Speaker 1: I think there's Revolve Clothing is pretty interesting in terms 241 00:13:22,559 --> 00:13:25,280 Speaker 1: of what they're doing. What are they doing that's kind 242 00:13:25,280 --> 00:13:27,800 Speaker 1: of unique. We've all seen the Dollar Shave Club videos. 243 00:13:27,800 --> 00:13:30,880 Speaker 1: They were great, the company was what wasn't it for 244 00:13:31,200 --> 00:13:34,200 Speaker 1: not in substantial amount of There's a terrific conference called 245 00:13:34,240 --> 00:13:37,480 Speaker 1: shop Talk. It began last year and they basically brought 246 00:13:37,520 --> 00:13:40,800 Speaker 1: physical and digital together, and it's being gonna be held 247 00:13:40,840 --> 00:13:44,280 Speaker 1: this year also on March nineteen, and that's where you 248 00:13:44,320 --> 00:13:47,520 Speaker 1: see some of the newest online retailers and how they're 249 00:13:47,520 --> 00:13:51,079 Speaker 1: growing and how they're becoming physical too, because physical retailers 250 00:13:51,280 --> 00:13:56,920 Speaker 1: need to better embrace digital also. That's that's fascinating amongst 251 00:13:57,080 --> 00:14:03,840 Speaker 1: um outside of Amazon, who else from pure digital not 252 00:14:04,000 --> 00:14:07,000 Speaker 1: having a physical shop? Who else is is catching your eye? 253 00:14:07,240 --> 00:14:09,360 Speaker 1: I think just not having a pure physical shop, but 254 00:14:09,440 --> 00:14:11,880 Speaker 1: just on the on the digital side, I think there's 255 00:14:11,880 --> 00:14:14,920 Speaker 1: a lot of interest in social media things. What Snapchat 256 00:14:14,960 --> 00:14:18,679 Speaker 1: is doing, what pinterest is doing. That's really interesting to me. 257 00:14:18,840 --> 00:14:23,600 Speaker 1: Are they converting their user activity to actual retail sales 258 00:14:23,680 --> 00:14:26,960 Speaker 1: or at least two retail prospects driving traffics seems like it. 259 00:14:27,160 --> 00:14:28,880 Speaker 1: I mean, look at the line that's hell that the 260 00:14:29,160 --> 00:14:32,000 Speaker 1: at the Snapchat pop up shop shop here on sixty 261 00:14:32,200 --> 00:14:36,000 Speaker 1: between Fifth and Madison. Everyone wants those virtual reality glasses. 262 00:14:36,240 --> 00:14:39,040 Speaker 1: Look at Instagram. I've an office filled with people who 263 00:14:39,120 --> 00:14:42,920 Speaker 1: are consumers, people who like to consume, and frankly, they're 264 00:14:43,000 --> 00:14:47,280 Speaker 1: learning about new trends, new retailers, new online sites, all 265 00:14:47,280 --> 00:14:50,320 Speaker 1: through Instagram. A picture is worth more than a thousand words. 266 00:14:50,640 --> 00:14:54,600 Speaker 1: That's interesting. What about the brick and mortar retailers, which 267 00:14:54,680 --> 00:14:58,680 Speaker 1: of the physical stores are actually have a good digital 268 00:14:59,280 --> 00:15:02,400 Speaker 1: um positioning. You've got to give the department stores credit. 269 00:15:02,720 --> 00:15:06,120 Speaker 1: Macy's Nordstrom have done a very good job at integrating 270 00:15:06,400 --> 00:15:09,720 Speaker 1: physical and digital and it's growing fast for them, and 271 00:15:09,760 --> 00:15:12,880 Speaker 1: I think you're seeing other players. Look at Walmart. Walmart 272 00:15:13,000 --> 00:15:16,720 Speaker 1: basically now believes online is central to their strategy. I 273 00:15:16,800 --> 00:15:18,800 Speaker 1: know that if I go to a Lord and Tailor 274 00:15:19,080 --> 00:15:21,720 Speaker 1: or a Macy's and I want something and they either 275 00:15:22,200 --> 00:15:24,280 Speaker 1: don't have the right color, don't have the right size, 276 00:15:24,960 --> 00:15:28,320 Speaker 1: every salesperson will say, oh, we can have that ship 277 00:15:28,360 --> 00:15:30,160 Speaker 1: to you for free. If you want this one in 278 00:15:30,160 --> 00:15:33,040 Speaker 1: this color, we can run it it'll you'll have it 279 00:15:33,080 --> 00:15:35,720 Speaker 1: in a week. No one wants to lose a sale. 280 00:15:36,040 --> 00:15:38,520 Speaker 1: Everyone wants you, the shopper, to think of them as 281 00:15:38,600 --> 00:15:42,040 Speaker 1: in stock all the time and be retail loyal. And 282 00:15:42,120 --> 00:15:44,920 Speaker 1: how do you get loyalty? You get loyalty by service. 283 00:15:45,000 --> 00:15:47,640 Speaker 1: You get loyalty by price and convenience, and that's what 284 00:15:47,680 --> 00:15:52,200 Speaker 1: they're offering. So you mentioned price, what does online due 285 00:15:52,240 --> 00:15:55,080 Speaker 1: to price competition? Are we still seeing the same sort 286 00:15:55,120 --> 00:15:57,680 Speaker 1: of showrooming that was an issue a couple of years ago? 287 00:15:57,800 --> 00:16:01,080 Speaker 1: You are. Price transparency is one of the biggest competitors 288 00:16:01,120 --> 00:16:03,840 Speaker 1: for all of retailers and etailers, and so how do 289 00:16:03,880 --> 00:16:08,720 Speaker 1: you how do you break price transparency exclusive items, more innovation? 290 00:16:09,360 --> 00:16:12,760 Speaker 1: Basically being able to communicate with your customer services the 291 00:16:12,840 --> 00:16:16,120 Speaker 1: killer app these days, and being able to be communicative 292 00:16:16,240 --> 00:16:19,160 Speaker 1: even in store and out of store, I think makes 293 00:16:19,160 --> 00:16:21,840 Speaker 1: you feel part of the club. Service is the killer 294 00:16:21,880 --> 00:16:24,120 Speaker 1: app feels like it? I mean, when you can have 295 00:16:24,560 --> 00:16:28,120 Speaker 1: sales associates, people who chat online with you, if you're 296 00:16:28,240 --> 00:16:30,720 Speaker 1: customized to them. Why do you think you're seeing The 297 00:16:30,800 --> 00:16:34,800 Speaker 1: mobile phone right now is becoming so important to consumers 298 00:16:35,000 --> 00:16:37,760 Speaker 1: because they're using it for everything. It's not only their 299 00:16:37,760 --> 00:16:40,520 Speaker 1: work lives, but it's their personal lives too that helped 300 00:16:40,680 --> 00:16:44,920 Speaker 1: create transactions and complete transactions. I'm barry, what helps You're 301 00:16:45,000 --> 00:16:48,760 Speaker 1: listening to Masters in Business on Bloomberg Radio. My special 302 00:16:48,760 --> 00:16:52,240 Speaker 1: guest today is Dana Telsey of the Telsea Advisory Group. 303 00:16:52,600 --> 00:16:58,120 Speaker 1: She is a top rated institutional investor analyst for thirteen years. 304 00:16:58,600 --> 00:17:01,080 Speaker 1: Spent a lot of time at bear Stern before launching 305 00:17:01,120 --> 00:17:04,679 Speaker 1: her own firm. Let's talk a little bit about the 306 00:17:04,720 --> 00:17:09,000 Speaker 1: retail footprints and whether or not we've we've overbuilt it. It 307 00:17:08,920 --> 00:17:12,440 Speaker 1: It seems that every major town has two malls and 308 00:17:12,560 --> 00:17:14,760 Speaker 1: the old mall is kind of struggling and the new 309 00:17:14,760 --> 00:17:17,639 Speaker 1: mall is all bright and shiny, and you wonder, have 310 00:17:17,800 --> 00:17:22,120 Speaker 1: we built too much retail physical space in America. We've 311 00:17:22,119 --> 00:17:24,680 Speaker 1: had a lot of physical space in America, and yes, 312 00:17:24,760 --> 00:17:27,600 Speaker 1: you have space that isn't as productive as others. And 313 00:17:27,640 --> 00:17:30,919 Speaker 1: that's why you see the differentiation between the A malls 314 00:17:31,000 --> 00:17:33,200 Speaker 1: and the Bees and the C malls. It really is 315 00:17:33,240 --> 00:17:36,120 Speaker 1: about the right malls, and they're all changing right now. 316 00:17:36,440 --> 00:17:41,280 Speaker 1: The occupancy, the the occupancy levels and also the rents. 317 00:17:41,280 --> 00:17:43,960 Speaker 1: And those A malls that's where everyone wants to be 318 00:17:43,960 --> 00:17:47,920 Speaker 1: because you're creating a community of best in class tenants 319 00:17:48,000 --> 00:17:52,040 Speaker 1: that also retailers and restaurants invest in to continue to 320 00:17:52,040 --> 00:17:55,160 Speaker 1: make it better. So I am not a big mall shopper. 321 00:17:55,200 --> 00:17:56,960 Speaker 1: If I could stay out of the malls, I'm I'm 322 00:17:57,160 --> 00:18:01,399 Speaker 1: very happy Camper. But where I live, there's certain specific 323 00:18:01,520 --> 00:18:04,720 Speaker 1: stores you want to go to, like let's go say 324 00:18:04,760 --> 00:18:09,639 Speaker 1: the Bloomingdale Furniture store or um by me. If I 325 00:18:09,680 --> 00:18:11,320 Speaker 1: want to go to the one of the big sporting 326 00:18:11,320 --> 00:18:14,160 Speaker 1: goods stores, they're attached to them all. And not too 327 00:18:14,200 --> 00:18:18,280 Speaker 1: long ago, before the holiday season, I walked through part 328 00:18:18,320 --> 00:18:21,880 Speaker 1: of Roosevelt Field and I didn't recognize it. It's totally 329 00:18:21,920 --> 00:18:24,479 Speaker 1: different than what it used to be. What Simon has 330 00:18:24,480 --> 00:18:27,119 Speaker 1: done in Roosevelt Field, it looks terrific. Look at that 331 00:18:27,200 --> 00:18:29,760 Speaker 1: name and Marcus there. Look at the center court area 332 00:18:29,760 --> 00:18:33,000 Speaker 1: of the of the court is really nice. I was 333 00:18:33,080 --> 00:18:36,119 Speaker 1: shocked it used to be you know, junk this and 334 00:18:36,600 --> 00:18:40,200 Speaker 1: garbage that. It's really good. High end food malls today 335 00:18:40,400 --> 00:18:43,680 Speaker 1: need to be experiential, not just a place for buying things. 336 00:18:43,840 --> 00:18:46,000 Speaker 1: They're offering restaurants. You know what. The new name for 337 00:18:46,119 --> 00:18:49,359 Speaker 1: movie theaters are wine Dyne and Recline because there's a 338 00:18:49,359 --> 00:18:51,600 Speaker 1: new way to go to movie theaters these days. And 339 00:18:51,640 --> 00:18:54,440 Speaker 1: I think that's what you're gonna see. These shopping centers 340 00:18:54,560 --> 00:18:58,080 Speaker 1: or retail real estate become places where consumers spend time 341 00:18:58,359 --> 00:19:00,600 Speaker 1: not only to meet people, not only to buy things, 342 00:19:00,880 --> 00:19:04,480 Speaker 1: but more physical time by offering more services within the center. 343 00:19:05,080 --> 00:19:08,600 Speaker 1: So what does that mean in terms of the cost 344 00:19:08,640 --> 00:19:14,520 Speaker 1: structure of rentals for for retailers? This this looks like 345 00:19:14,600 --> 00:19:17,679 Speaker 1: when Roosevelt is a perfect example. This doesn't look like 346 00:19:17,720 --> 00:19:21,080 Speaker 1: a down and dirty, fast and cheap renovation. It looks 347 00:19:21,119 --> 00:19:23,240 Speaker 1: like they really put some time and effort and money 348 00:19:23,280 --> 00:19:25,720 Speaker 1: into it. What are rents are going to be? What 349 00:19:25,840 --> 00:19:29,040 Speaker 1: our rents gonna be like for retailers? For these A malls, 350 00:19:29,040 --> 00:19:31,400 Speaker 1: rents are going to be high. And the reason retailers 351 00:19:31,440 --> 00:19:34,919 Speaker 1: will pay those types of rents those centers drive the 352 00:19:34,960 --> 00:19:38,960 Speaker 1: most traffic, have the most complementary mix of tenants, and 353 00:19:39,520 --> 00:19:43,400 Speaker 1: are always fully occupied. So we continue to see demand 354 00:19:43,440 --> 00:19:47,480 Speaker 1: for those centers being tremendous. So who is who else 355 00:19:47,640 --> 00:19:50,000 Speaker 1: you mentioned Simon's group? Who else is doing the sort 356 00:19:50,000 --> 00:19:54,080 Speaker 1: of large scale retail Well, look at general growth properties. 357 00:19:54,280 --> 00:19:56,359 Speaker 1: They happen to be doing a very good job. Also, 358 00:19:56,600 --> 00:19:59,680 Speaker 1: what's happening in the Natick mall is very exciting. They've 359 00:19:59,680 --> 00:20:03,440 Speaker 1: had amendous changes in an uplift in their centers too. 360 00:20:03,920 --> 00:20:07,719 Speaker 1: And even with the latest parking technology, the latest parking 361 00:20:07,720 --> 00:20:09,959 Speaker 1: town red light, green light. If you think about what 362 00:20:10,119 --> 00:20:13,080 Speaker 1: consumers today get frustrated about going to a shopping center 363 00:20:13,280 --> 00:20:16,960 Speaker 1: finding a parking spot. For sure, they've made it easy 364 00:20:16,960 --> 00:20:19,640 Speaker 1: with implementation of red light green light. If you see 365 00:20:19,680 --> 00:20:24,159 Speaker 1: red spots occupied, if you see green spots available, really 366 00:20:24,240 --> 00:20:26,840 Speaker 1: and that's making a difference with return business and people. 367 00:20:26,920 --> 00:20:29,440 Speaker 1: Of course makes the ability and when you think about 368 00:20:29,440 --> 00:20:32,600 Speaker 1: what retails are doing buy online, pickup and store, it's 369 00:20:32,600 --> 00:20:34,680 Speaker 1: one of the reasons it makes buy online, pickup and 370 00:20:34,720 --> 00:20:37,600 Speaker 1: store easy. Along with the fact that those consumers who 371 00:20:37,640 --> 00:20:40,280 Speaker 1: do buy online, pickup and store, they typically have an 372 00:20:40,280 --> 00:20:43,600 Speaker 1: attachment rate of coming in and buying nearly thirty more 373 00:20:43,800 --> 00:20:46,000 Speaker 1: because they're picking up the pants, but then maybe they're 374 00:20:46,040 --> 00:20:50,400 Speaker 1: getting socks or shirt or jacket other items. So Professor 375 00:20:50,440 --> 00:20:53,240 Speaker 1: Galloway over at n y U Stern was a previous guest, 376 00:20:53,320 --> 00:20:58,520 Speaker 1: and he talks about physical stores as distributed warehouse chains 377 00:20:58,600 --> 00:21:02,240 Speaker 1: that will have been in a huge advantage that chains 378 00:21:02,320 --> 00:21:07,480 Speaker 1: like Macy's and even Marcus have over Amazon in their 379 00:21:08,000 --> 00:21:11,920 Speaker 1: category groups. They seem to have come to that realization 380 00:21:12,080 --> 00:21:15,560 Speaker 1: somewhat late. Are they making up for that that being 381 00:21:15,600 --> 00:21:18,520 Speaker 1: a little behind the April? What what's the future for there? 382 00:21:18,600 --> 00:21:21,040 Speaker 1: Look like, I think basically we're not going to see 383 00:21:21,040 --> 00:21:24,520 Speaker 1: a country that's overrun by warehouses. And I think companies 384 00:21:24,520 --> 00:21:27,560 Speaker 1: and retailers are using part of their stores as they 385 00:21:27,600 --> 00:21:31,480 Speaker 1: begin to encompass more digital and omni channel initiatives as 386 00:21:31,680 --> 00:21:34,480 Speaker 1: supplying goods, and it could be buy online, pickup and 387 00:21:34,600 --> 00:21:38,680 Speaker 1: store by ship shipped to home from store, either one. 388 00:21:39,119 --> 00:21:43,359 Speaker 1: And frankly, the cost of doing this fulfillment is not cheap. 389 00:21:43,600 --> 00:21:47,440 Speaker 1: So figuring out ways to economize and maybe making retail 390 00:21:47,520 --> 00:21:51,159 Speaker 1: space more productive using some of the space that maybe 391 00:21:51,160 --> 00:21:54,800 Speaker 1: back room space for distribution purposes. Yes, we're seeing that. 392 00:21:54,880 --> 00:21:56,840 Speaker 1: So you just said something that surprised me. You said 393 00:21:56,840 --> 00:22:00,639 Speaker 1: it's not cheap. I ordered a Monster O blower that 394 00:22:00,680 --> 00:22:04,040 Speaker 1: I got with m X points um from Lows and 395 00:22:04,080 --> 00:22:05,880 Speaker 1: it was by online pick up in store. I got 396 00:22:05,880 --> 00:22:09,200 Speaker 1: one bigger than they actually had in the stores. And 397 00:22:09,240 --> 00:22:12,600 Speaker 1: I just assumed, oh, that's a free marginal sale for them. 398 00:22:12,640 --> 00:22:15,399 Speaker 1: But you're implying that there's a cost to them for this. 399 00:22:15,560 --> 00:22:17,560 Speaker 1: You bet, the cost to be able to ship that 400 00:22:17,680 --> 00:22:20,720 Speaker 1: item if you're not fully on stocking, need to ship 401 00:22:20,760 --> 00:22:23,320 Speaker 1: two boxes or three boxes in order to have the 402 00:22:23,480 --> 00:22:26,920 Speaker 1: order fully intact. That doesn't come cheap. And that's why 403 00:22:27,000 --> 00:22:31,240 Speaker 1: what you see is physical stores overall typically are profitable. 404 00:22:31,520 --> 00:22:34,800 Speaker 1: E commerce helps drive sales. The combination of the two, 405 00:22:35,119 --> 00:22:39,120 Speaker 1: that multi channel shopper is your most productive shopper. Quite interesting. 406 00:22:39,600 --> 00:22:43,199 Speaker 1: I'm very results you're listening to Masters in Business on 407 00:22:43,280 --> 00:22:48,120 Speaker 1: Bloomberg Radio. My special guest today is retailing expert Dana Telsey. 408 00:22:48,680 --> 00:22:51,840 Speaker 1: She runs her own shop called Telsey Advisory Group, or 409 00:22:52,000 --> 00:22:54,640 Speaker 1: TAG as it's better known. You may know her from 410 00:22:54,640 --> 00:22:58,680 Speaker 1: her days at bear Stearns. Let's let's talk about both 411 00:22:58,680 --> 00:23:02,640 Speaker 1: physical stores and some specific companies. I have to bring 412 00:23:02,680 --> 00:23:05,960 Speaker 1: up Nike because I had reference to you. I wanted 413 00:23:05,960 --> 00:23:08,720 Speaker 1: to talk about Nike, and that was before we knew 414 00:23:08,760 --> 00:23:13,399 Speaker 1: the earnings were going to be so spectacular. Not too 415 00:23:13,480 --> 00:23:17,320 Speaker 1: long ago, I was in the Beaverton, Oregon employee store 416 00:23:17,880 --> 00:23:21,120 Speaker 1: and I love their campus insane, It makes you want 417 00:23:21,119 --> 00:23:24,399 Speaker 1: to be a runner. And immediately and I picked up 418 00:23:24,440 --> 00:23:30,560 Speaker 1: a whole bunch of dry fit tennis garb, sort of reluctant, like, wow, 419 00:23:30,600 --> 00:23:33,760 Speaker 1: this stuff is really even at employee prices. This is 420 00:23:33,800 --> 00:23:38,000 Speaker 1: really expensive, And now I am a total convert. You 421 00:23:38,000 --> 00:23:41,920 Speaker 1: could play two hours of tennis, sweat till the old 422 00:23:42,040 --> 00:23:44,800 Speaker 1: and you're perfectly comfortable. And I bet you're winning more too. 423 00:23:45,040 --> 00:23:47,800 Speaker 1: I wouldn't go that far. I still stink but that 424 00:23:48,119 --> 00:23:52,040 Speaker 1: it's not apparel, it's technology. That's really a whole new 425 00:23:52,080 --> 00:23:54,800 Speaker 1: material science, isn't it. It's a new material science. You 426 00:23:54,840 --> 00:23:57,480 Speaker 1: gotta check out their new store that opened in Soho. 427 00:23:57,560 --> 00:24:01,680 Speaker 1: It's absolutely awesome. You should speak to Tahiti. She basically 428 00:24:01,680 --> 00:24:05,440 Speaker 1: works in their customization area. And you know what, Nike 429 00:24:05,760 --> 00:24:09,760 Speaker 1: isn't just active anymore. It's urban culture, really, yes, because 430 00:24:09,800 --> 00:24:13,240 Speaker 1: people are wearing activewear not just to play sports on 431 00:24:13,280 --> 00:24:16,080 Speaker 1: the field. They're wearing it out to dinner, They're wearing it, 432 00:24:16,280 --> 00:24:19,440 Speaker 1: shopping on the weekends, you name it. It's really integrated 433 00:24:19,880 --> 00:24:23,240 Speaker 1: with work weekend. And Jim, consumers are mixing and matching 434 00:24:23,480 --> 00:24:26,640 Speaker 1: work weekend and Jim that that's really quite fascinating. So 435 00:24:26,800 --> 00:24:30,359 Speaker 1: let's talk about a couple of other stores. Walmart, Target, 436 00:24:30,560 --> 00:24:34,520 Speaker 1: best Buy, Macy's. All these stores. Not too long ago 437 00:24:35,040 --> 00:24:38,320 Speaker 1: people were questioning whether they would ever make the leap 438 00:24:38,400 --> 00:24:40,919 Speaker 1: to digital, to leap to online, and do it. Well, 439 00:24:41,680 --> 00:24:45,520 Speaker 1: all four of these are greatly improved. Who who really 440 00:24:45,560 --> 00:24:48,919 Speaker 1: seems to understand online? Of that group, Well, it's very 441 00:24:48,960 --> 00:24:51,400 Speaker 1: interesting because look what Walmart did where their quie Jet 442 00:24:51,440 --> 00:24:54,120 Speaker 1: dot com and Doug McMillan, the CEO Walmart now says 443 00:24:54,280 --> 00:24:57,240 Speaker 1: we're any commerce company, so they're looking to move to 444 00:24:57,280 --> 00:25:00,119 Speaker 1: that next. When you think about Macy's, look what they're 445 00:25:00,160 --> 00:25:03,159 Speaker 1: doing with reevaluating the real estate, taking a look at 446 00:25:03,240 --> 00:25:07,080 Speaker 1: categories and really making enhancements. They're they're looking to next. 447 00:25:07,440 --> 00:25:10,240 Speaker 1: Look what best Buy is doing branded shop and shops, 448 00:25:10,480 --> 00:25:12,800 Speaker 1: and you can't forget Nordstrom and all of this, who 449 00:25:12,840 --> 00:25:16,720 Speaker 1: basically have acquired companies in order to better integrate digital 450 00:25:16,720 --> 00:25:19,479 Speaker 1: with online. So I think the department stores have been 451 00:25:19,520 --> 00:25:21,720 Speaker 1: a bit ahead of the game, and now you're seeing 452 00:25:21,720 --> 00:25:26,160 Speaker 1: Walmart really involved and get integrated with online. Let's let's 453 00:25:26,200 --> 00:25:29,600 Speaker 1: talk about a category that I think is just perplexing, 454 00:25:30,560 --> 00:25:33,920 Speaker 1: the teen retailers. You look at Abercrombie and Fish. This 455 00:25:34,080 --> 00:25:37,040 Speaker 1: was what were the eight billion dollars seven billion dollars 456 00:25:37,040 --> 00:25:41,320 Speaker 1: and now barely a billion dollars. How can anybody adequately 457 00:25:41,359 --> 00:25:45,320 Speaker 1: evaluate these companies? When you think about American Eagle, go 458 00:25:45,440 --> 00:25:48,560 Speaker 1: go through the whole list of of teen retailers. There, 459 00:25:48,600 --> 00:25:51,040 Speaker 1: they're impossible to keep up with, and they all seem 460 00:25:51,119 --> 00:25:54,919 Speaker 1: to be on fire one quarter and then that's it. 461 00:25:55,040 --> 00:25:57,640 Speaker 1: It's like the fed is over. How do you stay 462 00:25:57,640 --> 00:25:59,439 Speaker 1: on top of that? Got to be in the stores. 463 00:25:59,640 --> 00:26:01,399 Speaker 1: You gotta be in the stores, but you also have 464 00:26:01,440 --> 00:26:03,679 Speaker 1: to check online. I put out this new product, the 465 00:26:03,680 --> 00:26:07,080 Speaker 1: Weekly Trend Report, that basically looks at online sites last 466 00:26:07,080 --> 00:26:09,880 Speaker 1: week and this week and what's changed and a lot changes. 467 00:26:10,080 --> 00:26:12,199 Speaker 1: It keeps you in the know because it shows you 468 00:26:12,240 --> 00:26:14,760 Speaker 1: the prices, and it shows you what's trending and not trending. 469 00:26:14,960 --> 00:26:16,359 Speaker 1: So how do I stay on top of it? You 470 00:26:16,400 --> 00:26:18,680 Speaker 1: have to watch what Forever twenty one and H and 471 00:26:18,800 --> 00:26:20,920 Speaker 1: M and Azara is doing, and watch what the a's 472 00:26:20,960 --> 00:26:25,120 Speaker 1: are doing. Logo is that's what they are. Logos are 473 00:26:25,160 --> 00:26:28,000 Speaker 1: no longer the comfort factor that they used to be 474 00:26:28,000 --> 00:26:30,960 Speaker 1: because the teens of ten years ago they were into logo. 475 00:26:31,240 --> 00:26:34,240 Speaker 1: The teens of today not into logo. The teens of 476 00:26:34,240 --> 00:26:37,400 Speaker 1: today are into more fashion, more, what patterns are more, 477 00:26:37,440 --> 00:26:40,000 Speaker 1: what is trending and that's active where. So take a 478 00:26:40,000 --> 00:26:42,440 Speaker 1: look at American Eagle lately they put a whole new 479 00:26:42,480 --> 00:26:45,960 Speaker 1: sport window in their store windows and also on online. 480 00:26:46,200 --> 00:26:48,800 Speaker 1: They're going to capture a new trend. And take a 481 00:26:48,800 --> 00:26:51,560 Speaker 1: look what Limited Brands L Brands is doing with Victoria's 482 00:26:51,560 --> 00:26:54,320 Speaker 1: Secret Pink is hot and it drives the most traffic. 483 00:26:54,720 --> 00:26:59,040 Speaker 1: So the teen retailers have gotten more competition incoming from 484 00:26:59,080 --> 00:27:03,240 Speaker 1: the fast fashion read tailors, more competition fast fashion that's 485 00:27:03,240 --> 00:27:06,960 Speaker 1: fashion like Zara, like h and M, like Forever twenty one, 486 00:27:07,320 --> 00:27:09,720 Speaker 1: speed to market in terms of goods and what's trending, 487 00:27:10,080 --> 00:27:12,520 Speaker 1: and then if you don't buy it, then it may 488 00:27:12,560 --> 00:27:15,359 Speaker 1: not be in stock. Really, it's that it's that quick. 489 00:27:15,359 --> 00:27:17,840 Speaker 1: What about some of the luxury retailers out there, I 490 00:27:17,880 --> 00:27:21,680 Speaker 1: don't recall if you still cover Coach and Tiffany, So 491 00:27:21,680 --> 00:27:25,080 Speaker 1: so they had a huge run and the past couple 492 00:27:25,080 --> 00:27:27,639 Speaker 1: of years not so great. What's going on there? And 493 00:27:27,640 --> 00:27:30,000 Speaker 1: I think one of the things that's changed their same thing. 494 00:27:30,119 --> 00:27:33,240 Speaker 1: You need product innovation and product innovation. Take a look 495 00:27:33,240 --> 00:27:36,080 Speaker 1: at what Coach has done. They brought in Stewart Fever's. 496 00:27:36,119 --> 00:27:40,480 Speaker 1: They now have new models and new camp, new marketing 497 00:27:40,520 --> 00:27:44,120 Speaker 1: campaigns that are attracting the millennial consumer. And so they've 498 00:27:44,200 --> 00:27:48,040 Speaker 1: become a reinvigorated brand. And so the handbag space alone 499 00:27:48,080 --> 00:27:50,640 Speaker 1: now smaller bags. So you're not getting the same high 500 00:27:50,840 --> 00:27:53,280 Speaker 1: same a you are, but what are you doing for newness? 501 00:27:53,520 --> 00:27:56,680 Speaker 1: Check out the new Coach flagship store on fifty three 502 00:27:56,840 --> 00:27:59,719 Speaker 1: fifty fourth Street and Fifth Avenue. It's quite the experience, 503 00:28:00,320 --> 00:28:03,560 Speaker 1: so luxury goods. Overall, we had weak tourism in two 504 00:28:03,560 --> 00:28:06,400 Speaker 1: thousand and sixteen in the United States. The strong dollar 505 00:28:06,520 --> 00:28:09,119 Speaker 1: impacted you don't know. With some of these new lower 506 00:28:09,160 --> 00:28:11,760 Speaker 1: tax laws that could be in coming, could help the 507 00:28:11,800 --> 00:28:14,760 Speaker 1: local consumer. And what you're seeing is the Chinese is 508 00:28:14,800 --> 00:28:18,320 Speaker 1: starting to travel again. LVMH's latest results talked about it. 509 00:28:18,480 --> 00:28:21,880 Speaker 1: Tiffany saw some improvement in tourism. You saw Coach talk 510 00:28:21,920 --> 00:28:25,399 Speaker 1: about some improvement in tourism, and even Macy's saw the 511 00:28:25,520 --> 00:28:29,200 Speaker 1: tourism drops less worse than they had been. So fingers 512 00:28:29,200 --> 00:28:31,600 Speaker 1: crossed for a better two thousand and seventeen. So what 513 00:28:31,680 --> 00:28:34,000 Speaker 1: about some of the other you mean, we talked about Nike, 514 00:28:34,119 --> 00:28:36,960 Speaker 1: some of the other athletic brands, Athleta, Athleta, I don't 515 00:28:36,960 --> 00:28:39,480 Speaker 1: know I'm pronouncing that. Yep, that's Party Gap and they 516 00:28:39,560 --> 00:28:42,680 Speaker 1: basically have very good success online. Take a look at 517 00:28:42,720 --> 00:28:45,160 Speaker 1: Audit Das. I mean they just opened a new flagship 518 00:28:45,240 --> 00:28:47,040 Speaker 1: to take a look at that gym stadium. What it 519 00:28:47,080 --> 00:28:49,760 Speaker 1: looks like they got. They have the trend right product 520 00:28:49,760 --> 00:28:52,640 Speaker 1: now and that makes it exciting. And don't leave out 521 00:28:52,720 --> 00:28:56,440 Speaker 1: Kevin Plank from under Armour because under Armour has big 522 00:28:56,480 --> 00:29:00,320 Speaker 1: aspirations and what they did, whether it's buying different apps, 523 00:29:00,480 --> 00:29:04,320 Speaker 1: they're creating an under Armor community. Huh, that's quite fascinating. 524 00:29:05,040 --> 00:29:08,840 Speaker 1: Earlier you mentioned best Buy here. That's another example. In 525 00:29:09,000 --> 00:29:12,440 Speaker 1: OH six it was a sixty stock it plummeted to 526 00:29:12,560 --> 00:29:15,800 Speaker 1: eleven dollars. That's a twenty seven billion to four billion 527 00:29:15,840 --> 00:29:18,920 Speaker 1: dollar drop. And now it's not too far from its 528 00:29:18,920 --> 00:29:22,640 Speaker 1: old time eyes, it's back to dollars. What do you 529 00:29:22,680 --> 00:29:25,400 Speaker 1: make of best Buy and what's driving that recovery? They 530 00:29:25,400 --> 00:29:28,959 Speaker 1: fought back up against Amazon, and they fought back against showrooming. 531 00:29:29,280 --> 00:29:32,200 Speaker 1: Prices are now the same where they match. Customers can 532 00:29:32,440 --> 00:29:36,840 Speaker 1: have the item same day of Best Buys. Online orders 533 00:29:36,840 --> 00:29:38,800 Speaker 1: are picked up at the store. Wait, wait to say 534 00:29:38,840 --> 00:29:47,600 Speaker 1: that again. Online people bypass the whole salesman, retail exit 535 00:29:48,160 --> 00:29:51,120 Speaker 1: order online, show up with a receipt and they bring 536 00:29:51,120 --> 00:29:53,120 Speaker 1: it out to your car, bring it and also maybe 537 00:29:53,160 --> 00:29:55,480 Speaker 1: you want to buy some extra things while you're there. 538 00:29:55,840 --> 00:29:58,680 Speaker 1: That's been very effective for them, along with the fact 539 00:29:59,000 --> 00:30:02,160 Speaker 1: vendors need and want Best Buy to thrive, They need 540 00:30:02,160 --> 00:30:05,600 Speaker 1: that physical presence and location. How important is it for 541 00:30:05,760 --> 00:30:10,280 Speaker 1: vendors that there's a legitimate competitor to Amazon very important. 542 00:30:10,560 --> 00:30:12,880 Speaker 1: You want to be able to have diversification among your 543 00:30:12,920 --> 00:30:18,120 Speaker 1: customer base. It makes pricing rational. So um, what about 544 00:30:18,120 --> 00:30:21,040 Speaker 1: some of the other specialty shoes. Warby Parker seems to 545 00:30:21,040 --> 00:30:24,160 Speaker 1: have come out of out of nowhere, very exciting, and 546 00:30:24,200 --> 00:30:27,120 Speaker 1: then jet dot Com that was pretty quick from startup 547 00:30:27,160 --> 00:30:30,600 Speaker 1: to to total sale. Who else is out there? Who 548 00:30:30,600 --> 00:30:33,120 Speaker 1: else is interesting we might not have heard about. Well, 549 00:30:33,160 --> 00:30:35,800 Speaker 1: that's that real real. On the consignment store, threat up 550 00:30:35,920 --> 00:30:38,680 Speaker 1: trades a all very interesting in terms thread up. What 551 00:30:38,760 --> 00:30:42,120 Speaker 1: is threat up consignment? Something you don't wear, then you 552 00:30:42,160 --> 00:30:43,760 Speaker 1: may want to sell it and be able to buy 553 00:30:43,800 --> 00:30:46,280 Speaker 1: something else. So you're gonna sell it on some of 554 00:30:46,280 --> 00:30:49,960 Speaker 1: these apparel consignment sites. That makes it, That makes it interesting. 555 00:30:50,480 --> 00:30:53,040 Speaker 1: Carbon thirty eight in the act of where that's been 556 00:30:53,080 --> 00:30:55,720 Speaker 1: super interesting also in terms of some of the on 557 00:30:55,920 --> 00:31:01,120 Speaker 1: trend active wear sites that's appealing to. So how many 558 00:31:01,120 --> 00:31:03,920 Speaker 1: of these stores are you going to on a regular basis? 559 00:31:03,960 --> 00:31:07,560 Speaker 1: Are you out of the office every day? I'm in 560 00:31:07,720 --> 00:31:10,720 Speaker 1: stores every weekend. I am out in stores at least 561 00:31:10,720 --> 00:31:13,320 Speaker 1: two to three times a week. Any city I go to, 562 00:31:13,560 --> 00:31:15,960 Speaker 1: I always spend my time going part of the time 563 00:31:16,000 --> 00:31:17,960 Speaker 1: going to malls and going to see a store. So, 564 00:31:17,960 --> 00:31:20,560 Speaker 1: so take me through a day in the life of 565 00:31:20,560 --> 00:31:23,760 Speaker 1: of Dana Telsey. What because I know you're always so 566 00:31:23,880 --> 00:31:25,680 Speaker 1: for people who are listening to Dana and I actually 567 00:31:25,720 --> 00:31:27,800 Speaker 1: used to be in the same building and we were 568 00:31:27,880 --> 00:31:30,880 Speaker 1: constantly bumping into each other, usually as she was running 569 00:31:30,880 --> 00:31:33,680 Speaker 1: out of the building like it was on fire. What's 570 00:31:33,720 --> 00:31:35,840 Speaker 1: a day in the like of Dana Telsea? Like it? 571 00:31:36,040 --> 00:31:38,520 Speaker 1: You know, there is no typical day. And part of 572 00:31:38,520 --> 00:31:41,120 Speaker 1: the reason there's no typical day, it depends who you're 573 00:31:41,160 --> 00:31:45,080 Speaker 1: interacting with and talking with. It starts with what's happening globally, 574 00:31:45,120 --> 00:31:47,680 Speaker 1: what I see macro wise, what's on the news that night, 575 00:31:48,160 --> 00:31:50,960 Speaker 1: going into the office, checking out what the stocks are doing, 576 00:31:51,320 --> 00:31:53,600 Speaker 1: and then whether it's meetings for the day, whether it's 577 00:31:53,600 --> 00:31:56,800 Speaker 1: meeting with companies for the day. I'm learning all day long, 578 00:31:56,960 --> 00:31:58,960 Speaker 1: and I'm a student, and I'm so lucky to be 579 00:31:59,040 --> 00:32:01,640 Speaker 1: able to be a tuned and have the ability to 580 00:32:01,720 --> 00:32:05,200 Speaker 1: speak to some of these business leaders. It's I'm learning 581 00:32:05,320 --> 00:32:08,280 Speaker 1: and knowledge is knowledge is what's great. And then also 582 00:32:08,360 --> 00:32:11,680 Speaker 1: so I have my research hat where basically I'm listening 583 00:32:11,720 --> 00:32:15,000 Speaker 1: to conference calls talking to companies going into stores. We 584 00:32:15,080 --> 00:32:17,960 Speaker 1: have the Telsea Consumer Fund, which is a long short 585 00:32:18,000 --> 00:32:21,040 Speaker 1: consumer hedge fund. It's up around double digits this year 586 00:32:21,080 --> 00:32:23,160 Speaker 1: so far, and so we're in the midst of asset 587 00:32:23,240 --> 00:32:26,360 Speaker 1: raising for that fund, and each day it's something a 588 00:32:26,360 --> 00:32:29,080 Speaker 1: little bit different, but it's always about the people. So 589 00:32:29,160 --> 00:32:33,360 Speaker 1: that's for that's we say, we don't really care about 590 00:32:33,480 --> 00:32:37,760 Speaker 1: predictions and forecast, but tell us about some of the 591 00:32:37,800 --> 00:32:42,240 Speaker 1: trends you see shifting in the coming year. Structural change 592 00:32:42,280 --> 00:32:44,400 Speaker 1: is something that we have in the consumer landscape that 593 00:32:44,400 --> 00:32:47,960 Speaker 1: we've never seen before. Structural change and a man but 594 00:32:48,040 --> 00:32:51,240 Speaker 1: that it's about. That's about online and what's happening with 595 00:32:51,320 --> 00:32:54,560 Speaker 1: companies becoming physical and digital at the same time. That's 596 00:32:54,560 --> 00:32:57,640 Speaker 1: about the mobile phone becoming the new way to communicate. 597 00:32:58,040 --> 00:33:01,160 Speaker 1: That's about data and loyalty pro grams, about how does 598 00:33:01,200 --> 00:33:03,479 Speaker 1: a retailer stay on top. You got to know more 599 00:33:03,520 --> 00:33:05,880 Speaker 1: about your customer and be able to interpret the data 600 00:33:05,920 --> 00:33:09,760 Speaker 1: that you receive. It's about speed and that's a competitive advantage, 601 00:33:10,000 --> 00:33:13,240 Speaker 1: whether it's ordering a product delivered to that customer's home. 602 00:33:13,560 --> 00:33:16,200 Speaker 1: How do you be faster in stock so that customer 603 00:33:16,280 --> 00:33:19,200 Speaker 1: comes to you again and that's what every single brand 604 00:33:19,240 --> 00:33:21,840 Speaker 1: is looking to be. I think brands have value, they 605 00:33:21,880 --> 00:33:23,520 Speaker 1: have meaning because do you want to be part of 606 00:33:23,520 --> 00:33:27,000 Speaker 1: the club. Brands will give you pricing and a pricing umbrella, 607 00:33:27,360 --> 00:33:29,720 Speaker 1: and if you have the innovative product, that's what gives 608 00:33:29,720 --> 00:33:32,440 Speaker 1: you a life cycle. We've been speaking with Dana Telsey. 609 00:33:32,560 --> 00:33:35,920 Speaker 1: She runs the Telsey Advisory Group covering all manners of 610 00:33:36,000 --> 00:33:39,520 Speaker 1: retail stock. If you enjoy this conversation, be sure and 611 00:33:39,600 --> 00:33:42,240 Speaker 1: stick around for the podcast extras. Will we keep the 612 00:33:42,280 --> 00:33:46,560 Speaker 1: tape rolling and continue discussing all things retail. Be sure 613 00:33:46,600 --> 00:33:50,400 Speaker 1: and check out my daily column on Bloomberg View dot com. 614 00:33:50,520 --> 00:33:53,480 Speaker 1: You can follow me on Twitter at Rid Halts. We 615 00:33:53,600 --> 00:33:56,040 Speaker 1: love your comments and feedback. Be sure to write to 616 00:33:56,160 --> 00:34:00,640 Speaker 1: us at m IB podcast at Bloomberg dot net. I'm 617 00:34:00,680 --> 00:34:04,200 Speaker 1: Barry Rehults. You've been listening to Masters in Business on 618 00:34:04,320 --> 00:34:08,040 Speaker 1: Bloomberg Radio. Welcome to the podcast, Dana. Thank you so 619 00:34:08,120 --> 00:34:09,919 Speaker 1: much for doing this. I've been I've been looking forward 620 00:34:09,960 --> 00:34:13,040 Speaker 1: to this UM for a while. There there's so much 621 00:34:13,160 --> 00:34:17,080 Speaker 1: retail stuff I can talk about. UM. We didn't mention 622 00:34:17,160 --> 00:34:21,080 Speaker 1: this in the broadcast portion, but I grew up my 623 00:34:21,600 --> 00:34:26,319 Speaker 1: father owns a chain of of sporting goods stores. They 624 00:34:26,360 --> 00:34:31,480 Speaker 1: had three sneakers and sportswear sweatshirts. I remember when I 625 00:34:31,520 --> 00:34:35,840 Speaker 1: was a kid, the Champion sweatshirts were huge, and he 626 00:34:35,920 --> 00:34:38,920 Speaker 1: used to occasionally bring sneakers home and say, here's a 627 00:34:38,960 --> 00:34:42,560 Speaker 1: new brand, Pony, see how you like. And I was like, 628 00:34:42,640 --> 00:34:44,600 Speaker 1: these are great. If I like them, they would toast. 629 00:34:45,120 --> 00:34:48,080 Speaker 1: He's a fantastic right and right in the tubes. So 630 00:34:48,120 --> 00:34:51,400 Speaker 1: I've been did in the store, which is why I 631 00:34:51,440 --> 00:34:54,080 Speaker 1: went to grad school because I said, I am never 632 00:34:54,120 --> 00:34:58,360 Speaker 1: working retail again. You have to have a certain you 633 00:34:58,440 --> 00:35:01,600 Speaker 1: have to have tolerance and pay and the ability to 634 00:35:02,280 --> 00:35:05,640 Speaker 1: be empathetic with people. I have none of that. So 635 00:35:06,600 --> 00:35:08,520 Speaker 1: are you doing what you're doing? Now? Let me tell 636 00:35:08,560 --> 00:35:12,200 Speaker 1: you it was. It was motivating because people don't realize 637 00:35:12,560 --> 00:35:15,520 Speaker 1: that's a hard job, standing on your feet all day, 638 00:35:15,560 --> 00:35:18,120 Speaker 1: the hours a long folding. I mean, there's a reason 639 00:35:18,120 --> 00:35:22,040 Speaker 1: they like to talk to customers and people are I 640 00:35:22,080 --> 00:35:24,640 Speaker 1: think it's worse today than it was when I was 641 00:35:24,680 --> 00:35:28,720 Speaker 1: a kid, where there was some civil discourse and decor. 642 00:35:29,160 --> 00:35:32,680 Speaker 1: Now I've I've watched people be so rude to sales 643 00:35:32,719 --> 00:35:36,120 Speaker 1: help and so rude to cashiers. I waited tables in 644 00:35:36,120 --> 00:35:39,839 Speaker 1: in college, and so I've always whenever anybody is rude 645 00:35:39,840 --> 00:35:41,960 Speaker 1: to a wait or, it's always, oh, you don't know 646 00:35:42,000 --> 00:35:44,640 Speaker 1: what goes on in the kitchen, do you? You probably 647 00:35:44,680 --> 00:35:47,520 Speaker 1: shouldn't eat what you just ordered because you've been way 648 00:35:47,560 --> 00:35:51,040 Speaker 1: too rude to that guy. But it's a really tough job. 649 00:35:51,120 --> 00:35:53,160 Speaker 1: I think it's tough job, and the good ones hard 650 00:35:53,200 --> 00:35:56,759 Speaker 1: to find. The weight in gold. How do you evaluate 651 00:35:57,040 --> 00:36:01,120 Speaker 1: the retail sales staff of a big you know? Change? 652 00:36:01,239 --> 00:36:04,120 Speaker 1: Can you do that? How much can they control the 653 00:36:04,200 --> 00:36:06,919 Speaker 1: quality of their sales? You can tell if people feel 654 00:36:06,920 --> 00:36:08,719 Speaker 1: they're on a winning team or not or not on 655 00:36:08,719 --> 00:36:11,960 Speaker 1: a winning team, or more hours being allocated to that 656 00:36:12,040 --> 00:36:14,799 Speaker 1: particular store and labor hours in order to make the 657 00:36:14,800 --> 00:36:17,000 Speaker 1: store nicer. Take a look at the way some of 658 00:36:17,000 --> 00:36:19,319 Speaker 1: the stores look in terms of the care that's put 659 00:36:19,360 --> 00:36:21,400 Speaker 1: into them, so you can tell if people care. Just 660 00:36:21,440 --> 00:36:23,080 Speaker 1: like you walk in an office, you can tell what 661 00:36:23,160 --> 00:36:25,880 Speaker 1: the mood is. You can walk into a store and say, 662 00:36:25,880 --> 00:36:28,120 Speaker 1: this is a good staff. Everybody's happy here, you know. 663 00:36:28,200 --> 00:36:30,640 Speaker 1: You can you talk to the sales people, engage them 664 00:36:30,640 --> 00:36:33,880 Speaker 1: in conversation. What what's happening? I need to buy something 665 00:36:33,920 --> 00:36:37,200 Speaker 1: from my mom? What would you suggest what's working having 666 00:36:37,200 --> 00:36:40,200 Speaker 1: fun here? Just talk to people. They're human beings too 667 00:36:40,360 --> 00:36:43,799 Speaker 1: and they want to talk. Also, do you cover any 668 00:36:43,840 --> 00:36:46,760 Speaker 1: of the restaurants or food stores like star does? Yes? 669 00:36:46,840 --> 00:36:49,319 Speaker 1: So Darrington does a great job. So what do you 670 00:36:49,400 --> 00:36:52,839 Speaker 1: think of what's going on um in Starbucks and and 671 00:36:53,200 --> 00:36:56,720 Speaker 1: what else is interesting out there in restaurant world. Restaurant 672 00:36:56,719 --> 00:36:59,440 Speaker 1: world is where you've had the most new concept of crazy, 673 00:36:59,680 --> 00:37:02,560 Speaker 1: said it. And that's because look at all the Instagram 674 00:37:02,600 --> 00:37:06,120 Speaker 1: pictures people take their food? Is that so I do that? 675 00:37:06,200 --> 00:37:10,240 Speaker 1: I don't Instagram. I tweet more than Instagram, but shake 676 00:37:10,320 --> 00:37:12,279 Speaker 1: Shock and Chick fil A and go down the list. 677 00:37:12,880 --> 00:37:17,279 Speaker 1: Is Instagram really driving traffic or Twitter drging traffic I have? 678 00:37:17,480 --> 00:37:19,440 Speaker 1: I just got a Twitter account also, and I'm putting 679 00:37:19,440 --> 00:37:22,160 Speaker 1: pictures up and showing people things, and all of a sudden, 680 00:37:22,320 --> 00:37:24,680 Speaker 1: people listen. They want to see what see what you're showing, 681 00:37:24,680 --> 00:37:27,440 Speaker 1: And yes it does. I think it helps to drive traffic. 682 00:37:27,480 --> 00:37:30,320 Speaker 1: It makes people more brand aware. And I love putting 683 00:37:30,360 --> 00:37:32,759 Speaker 1: putting pictures up on my Twitter account. I mean, all 684 00:37:32,760 --> 00:37:35,279 Speaker 1: of a sudden you have new followers. So, so what 685 00:37:35,480 --> 00:37:39,200 Speaker 1: is going on in food other than the burger wars? 686 00:37:39,400 --> 00:37:42,879 Speaker 1: And what about organic, What about ramen and the whole 687 00:37:42,920 --> 00:37:45,160 Speaker 1: noodle traumas out there? Now, how much of that is 688 00:37:45,200 --> 00:37:46,759 Speaker 1: Manhattan and how much of that is the rest of 689 00:37:46,760 --> 00:37:48,520 Speaker 1: the country. It's going the rest of the country to 690 00:37:48,719 --> 00:37:50,960 Speaker 1: It's definitely the coast first, but then it's going the 691 00:37:50,960 --> 00:37:54,040 Speaker 1: rest of the country. And what about everything that's happening 692 00:37:54,080 --> 00:37:58,479 Speaker 1: with sweet greens and local farm to table is all 693 00:37:58,560 --> 00:38:02,480 Speaker 1: over not Manhattan. I live on the north shore of 694 00:38:02,520 --> 00:38:06,080 Speaker 1: Long Island. Two of our favorite new restaurants are both. 695 00:38:06,920 --> 00:38:09,680 Speaker 1: One is called a Stereo leon as a little place 696 00:38:09,719 --> 00:38:12,800 Speaker 1: in Oyster Bay, and the other place U is called 697 00:38:13,440 --> 00:38:19,320 Speaker 1: I always get this wrong roots Beeds in in Um. 698 00:38:19,360 --> 00:38:22,480 Speaker 1: I want to say, siost to Jericho. The food is delicious. 699 00:38:22,480 --> 00:38:25,800 Speaker 1: It's always crazy fresh. And when you look at the menu, 700 00:38:25,880 --> 00:38:28,719 Speaker 1: you're not just ordering. It's here's this comes from roth 701 00:38:28,800 --> 00:38:30,960 Speaker 1: Camp Farms. This comes from here, this comes from the 702 00:38:31,000 --> 00:38:33,880 Speaker 1: North Fork, all the local one, all the local ales. 703 00:38:33,920 --> 00:38:36,160 Speaker 1: That seems to be a huge, huge tramp and look 704 00:38:36,200 --> 00:38:40,200 Speaker 1: at blue apron and plated. All of a sudden, house 705 00:38:40,320 --> 00:38:42,560 Speaker 1: it's coming to you and you're cooking it. They're giving 706 00:38:42,560 --> 00:38:46,120 Speaker 1: an exact right amount of ingredients and why it's speed. 707 00:38:46,360 --> 00:38:48,960 Speaker 1: It basically makes it faster, and what is it creating 708 00:38:49,000 --> 00:38:51,960 Speaker 1: an experience because all of a sudden you're cooking with 709 00:38:52,000 --> 00:38:54,640 Speaker 1: your friends or whatever it may be. So blue apron 710 00:38:54,760 --> 00:38:58,920 Speaker 1: plated organic ramen. That's the future. Now what does that 711 00:38:59,000 --> 00:39:01,760 Speaker 1: mean to supermarkets? If you don't have to go killing 712 00:39:01,760 --> 00:39:05,800 Speaker 1: out forty five minutes driving to the local supermarket, running 713 00:39:05,800 --> 00:39:09,279 Speaker 1: through the through the various aisles, picking up and then 714 00:39:09,320 --> 00:39:11,680 Speaker 1: first bringing it home to makes it much more competitive. 715 00:39:11,880 --> 00:39:14,120 Speaker 1: But look at the prepared food section of some of 716 00:39:14,120 --> 00:39:17,959 Speaker 1: these supermarkets. Look what Kroger has done with organics. They've 717 00:39:17,960 --> 00:39:20,560 Speaker 1: been able to capture that trend to and make the 718 00:39:20,600 --> 00:39:26,200 Speaker 1: prices competitive for all income level consumers. That that's really interesting. Um, 719 00:39:26,320 --> 00:39:28,600 Speaker 1: do you because still you don't cover whole foods, do you. 720 00:39:29,080 --> 00:39:31,360 Speaker 1: My colleague Joe Feldman, who has worked with me forever, 721 00:39:31,480 --> 00:39:35,359 Speaker 1: he's the superstar of supermarkets and hardlines, discounters and all 722 00:39:35,440 --> 00:39:37,600 Speaker 1: things out of the mall, on all things in the mall. 723 00:39:37,920 --> 00:39:40,399 Speaker 1: He basically he covers the supermarkets and is a huge 724 00:39:40,400 --> 00:39:44,319 Speaker 1: fan of Kroger. Likes Kroger, like likes what they've been doing. 725 00:39:45,040 --> 00:39:47,839 Speaker 1: That that that's really quiet and there's new competition coming 726 00:39:47,880 --> 00:39:51,240 Speaker 1: in All delight Ale from overseas, You've got Walmart obviously 727 00:39:51,280 --> 00:39:53,759 Speaker 1: having a big part of their business being food to 728 00:39:54,000 --> 00:39:58,160 Speaker 1: what what about these new Amazon cashier list supermarkets? What 729 00:39:58,280 --> 00:40:00,520 Speaker 1: is going on with that? That's going to be very interesting. 730 00:40:00,680 --> 00:40:03,600 Speaker 1: That and driverless cars that's like the new world of 731 00:40:03,600 --> 00:40:06,280 Speaker 1: how we're going to consume right now. That's only available 732 00:40:06,280 --> 00:40:09,280 Speaker 1: to employees, but it just goes to show you speed 733 00:40:09,600 --> 00:40:13,320 Speaker 1: technology all wrapped up into one. It's the game changer. 734 00:40:13,640 --> 00:40:15,879 Speaker 1: When can I send my driverless car out to pick 735 00:40:15,960 --> 00:40:18,120 Speaker 1: up my dinner and bring it home and cook it 736 00:40:18,200 --> 00:40:20,560 Speaker 1: for me. Let's wait, let's wait another five years, two 737 00:40:20,600 --> 00:40:24,080 Speaker 1: thousand twenty two, something like that. But but these new supermarkets, 738 00:40:24,080 --> 00:40:29,560 Speaker 1: the cashier list, the driven by not the usual supermarket folks. Um, 739 00:40:29,680 --> 00:40:33,160 Speaker 1: so it's Amazon, You like Kroger, You like what they're doing? Yes, 740 00:40:33,200 --> 00:40:36,440 Speaker 1: we do. Who else is doing interesting things in that space? 741 00:40:36,760 --> 00:40:39,440 Speaker 1: I think some of the privately held supermarkets public is 742 00:40:39,480 --> 00:40:42,600 Speaker 1: doing some interesting things. Wegman's obviously Wegmans is going to 743 00:40:42,680 --> 00:40:44,920 Speaker 1: be opening in the Native Mall in two thousand eighteen. 744 00:40:45,200 --> 00:40:47,640 Speaker 1: So we're seeing some of those private supermarkets also do 745 00:40:47,680 --> 00:40:50,600 Speaker 1: interesting things that that's kind of that's kind of fascinating. 746 00:40:50,840 --> 00:40:53,799 Speaker 1: So we went through a lot of questions. I'm just 747 00:40:53,920 --> 00:40:57,960 Speaker 1: curious if there's anything I missed, What what sectors of 748 00:40:58,080 --> 00:41:00,759 Speaker 1: retail did we not talk at out that you think 749 00:41:00,840 --> 00:41:03,960 Speaker 1: is is kind of interesting. I think the apparel manufacturers 750 00:41:04,000 --> 00:41:08,000 Speaker 1: are interesting. Ralph Lauren, p V H VF Corps. They 751 00:41:08,040 --> 00:41:11,800 Speaker 1: really own their brands who Calvin Klein, Tommy Hill, Fliger 752 00:41:11,880 --> 00:41:15,000 Speaker 1: is what they own. And these companies are global businesses. 753 00:41:15,280 --> 00:41:18,520 Speaker 1: They're now doing more of their own direct to consumer stores, 754 00:41:19,040 --> 00:41:21,360 Speaker 1: and they're looking to enhance their in store shops and 755 00:41:21,400 --> 00:41:25,279 Speaker 1: some of the better department stores. Branded companies that allocators 756 00:41:25,320 --> 00:41:28,360 Speaker 1: of capital and taking brands and making them grow. So 757 00:41:28,440 --> 00:41:30,120 Speaker 1: I think it's something you want to watch. So let's 758 00:41:30,160 --> 00:41:32,799 Speaker 1: go through that list. So at this point, everybody knows 759 00:41:33,040 --> 00:41:35,160 Speaker 1: Ralph Lauren, I would imagine, and there's it's a work 760 00:41:35,200 --> 00:41:37,600 Speaker 1: in progress, the Way Forward plan that the new CEO, 761 00:41:37,680 --> 00:41:42,239 Speaker 1: Stephan Larson put in place. He's executing on the operational enhancements. 762 00:41:42,560 --> 00:41:45,200 Speaker 1: So what what are they doing? Because I think of here, 763 00:41:45,280 --> 00:41:47,399 Speaker 1: this shirt is Ralph Lauren and I don't know who 764 00:41:47,440 --> 00:41:52,080 Speaker 1: the sweater is the guest Lord and Taylor, So I 765 00:41:52,160 --> 00:41:54,360 Speaker 1: think of them as the Polo shirts. I think of 766 00:41:54,440 --> 00:41:58,880 Speaker 1: them as um sweaters and other sort of traditionally preppy things. 767 00:41:59,120 --> 00:42:01,920 Speaker 1: What are they doing to move beyond that? So you're 768 00:42:01,920 --> 00:42:04,000 Speaker 1: going to see in the fall of two thousand seventeen 769 00:42:04,120 --> 00:42:07,080 Speaker 1: some enhancements to their iconic products. So wait, you're you're 770 00:42:07,120 --> 00:42:09,640 Speaker 1: looking at product almost a year in advance. You got 771 00:42:09,800 --> 00:42:14,480 Speaker 1: to you got it's that it takes that'll shift over time. 772 00:42:14,680 --> 00:42:17,200 Speaker 1: I mean, Neil looking to get their lead times down 773 00:42:17,239 --> 00:42:19,839 Speaker 1: from fifteen months to nine months, and that's a work 774 00:42:19,840 --> 00:42:22,400 Speaker 1: in progress right now. And that's why you see some 775 00:42:22,440 --> 00:42:26,080 Speaker 1: of the fast fashion retailers they're super quick. But brands 776 00:42:26,120 --> 00:42:30,239 Speaker 1: like Ralph Lauren who are first now becoming more modernized, 777 00:42:30,280 --> 00:42:32,279 Speaker 1: more up to date. I think you're gonna see the 778 00:42:32,280 --> 00:42:35,319 Speaker 1: product become that way too. So p V eight you 779 00:42:35,360 --> 00:42:40,080 Speaker 1: mentioned was um, Calvin and Tommy not Tommy Bahama. Tommy 780 00:42:40,680 --> 00:42:44,440 Speaker 1: Tommy Bahammas Oxford Industries and who else does Oxford Industries have? 781 00:42:44,680 --> 00:42:49,160 Speaker 1: Lily Pulitzer that's been so popular, that's the pink and greens, 782 00:42:50,120 --> 00:42:52,120 Speaker 1: and the other one that's like that in a privately 783 00:42:52,160 --> 00:42:55,720 Speaker 1: held way, vineyard vines. Everyone is a fan of vineyard 784 00:42:55,800 --> 00:42:59,520 Speaker 1: vines these days. So these are all these names we're 785 00:42:59,560 --> 00:43:01,800 Speaker 1: talking about out they've been around a couple of years, 786 00:43:01,800 --> 00:43:05,360 Speaker 1: are all well known. Who how do you identify or what? 787 00:43:05,560 --> 00:43:08,960 Speaker 1: Tell me about your process to look for Hey, this 788 00:43:09,040 --> 00:43:12,520 Speaker 1: is an interesting company, there are some legs here. How 789 00:43:12,560 --> 00:43:16,120 Speaker 1: do you how do you sift through all that options 790 00:43:16,360 --> 00:43:19,000 Speaker 1: to find the diamond in the rough? So a couple 791 00:43:19,000 --> 00:43:21,880 Speaker 1: of different ways. I look at what's trending online. I 792 00:43:21,920 --> 00:43:24,680 Speaker 1: look at Instagram. I look at bloggers. Bloggers are your 793 00:43:24,719 --> 00:43:27,560 Speaker 1: new celebrities in terms of what they're endorsing or what 794 00:43:27,640 --> 00:43:31,319 Speaker 1: their wat Totally, that's how you be able to pick 795 00:43:31,400 --> 00:43:35,520 Speaker 1: up on trends and so yes, able to see what's trending, 796 00:43:35,640 --> 00:43:39,160 Speaker 1: what's working. So I watched the bloggers, I watched who's 797 00:43:39,320 --> 00:43:42,440 Speaker 1: who's watching them and who their followers are, what the 798 00:43:42,520 --> 00:43:45,200 Speaker 1: Instagram leads are that I look in the stores and 799 00:43:45,239 --> 00:43:48,600 Speaker 1: I see what's happening talking to salespeople. You can look 800 00:43:48,640 --> 00:43:50,720 Speaker 1: online all you want and you can see what's trending, 801 00:43:50,920 --> 00:43:53,560 Speaker 1: but really it's not the same. You've got to marry 802 00:43:53,640 --> 00:43:58,279 Speaker 1: that with going into the stores. Also, So this we've 803 00:43:58,280 --> 00:44:02,839 Speaker 1: been reading about this so called old social media influencers 804 00:44:03,440 --> 00:44:06,480 Speaker 1: is that And I've also been reading about how those 805 00:44:06,920 --> 00:44:10,919 Speaker 1: metrics can be gamed is that a real important thing 806 00:44:11,000 --> 00:44:15,960 Speaker 1: to driving a specific product sales house It is, it's 807 00:44:16,000 --> 00:44:17,720 Speaker 1: become part of that. I mean, look at the fashion 808 00:44:17,760 --> 00:44:20,200 Speaker 1: shows now where all of a sudden it's brought, it's 809 00:44:20,239 --> 00:44:23,120 Speaker 1: brought to your living room. And these fashion bloggers if 810 00:44:23,120 --> 00:44:26,080 Speaker 1: they're wearing things, if all of a sudden, the right celebrities. 811 00:44:26,080 --> 00:44:30,680 Speaker 1: Look at Selina Gomez and their Kardashians and Kendall Jenner, 812 00:44:31,160 --> 00:44:33,800 Speaker 1: they make a real difference in being able to attract 813 00:44:33,960 --> 00:44:37,000 Speaker 1: millennials because everyone wants to be part of a club 814 00:44:37,400 --> 00:44:39,759 Speaker 1: that they want to be like them, and that's what 815 00:44:39,840 --> 00:44:44,480 Speaker 1: happens that that's astonishing. So we we've talked about online, 816 00:44:44,480 --> 00:44:48,719 Speaker 1: we've talked about physical stores, we've talked about brands. Um. 817 00:44:48,760 --> 00:44:53,279 Speaker 1: The one company I haven't asked you about is Apple. Um. 818 00:44:53,680 --> 00:44:57,920 Speaker 1: The Apple stores to this day, even though their their 819 00:44:58,000 --> 00:45:01,200 Speaker 1: sales numbers seem to have their growth rate is slowed down. 820 00:45:01,400 --> 00:45:03,920 Speaker 1: Every time I go to an Apple store, they're still 821 00:45:04,000 --> 00:45:06,600 Speaker 1: jam packed. What what's going on with that? Look at 822 00:45:06,640 --> 00:45:09,560 Speaker 1: the ecosystem that they created, Look at all the Apple 823 00:45:09,680 --> 00:45:11,920 Speaker 1: users that they have, so you have either have to 824 00:45:11,920 --> 00:45:14,560 Speaker 1: go to the genius bar, you're upgrading, and people seem 825 00:45:14,600 --> 00:45:17,839 Speaker 1: to be upgrading faster, and yet what you're gonna see 826 00:45:17,920 --> 00:45:21,640 Speaker 1: is the Apple stores themselves. They're reinventing themselves. Take a 827 00:45:21,680 --> 00:45:25,680 Speaker 1: look at the newest store downtown at Westfield's Oculus. Pretty 828 00:45:25,680 --> 00:45:28,680 Speaker 1: cool in terms of what they put together there, and 829 00:45:28,960 --> 00:45:33,680 Speaker 1: it's basically collaborative engagement sales associates and the customers and 830 00:45:33,800 --> 00:45:37,359 Speaker 1: looking to sell them more of the Apple products. Who 831 00:45:37,400 --> 00:45:41,760 Speaker 1: else is competitive in terms of driving their own retail 832 00:45:41,800 --> 00:45:45,400 Speaker 1: sales through their own stores. Apples seem to have created 833 00:45:45,920 --> 00:45:48,759 Speaker 1: a niche that didn't exist previously, at least not for 834 00:45:48,840 --> 00:45:51,839 Speaker 1: technology stores. You know what else? Cosmetic stores? Look at 835 00:45:51,840 --> 00:45:56,760 Speaker 1: Sephora absolutely packed, Look at Alta absolutely packed off price. 836 00:45:56,880 --> 00:46:00,320 Speaker 1: Look at t j X Ross stores and Burlington. People 837 00:46:00,360 --> 00:46:04,440 Speaker 1: like the treasure hunt atmosphere. It's two time consuming, but 838 00:46:04,520 --> 00:46:06,959 Speaker 1: a lot of people they love spending their time that way. 839 00:46:07,080 --> 00:46:09,000 Speaker 1: If you or if you have, if you have the 840 00:46:09,080 --> 00:46:11,200 Speaker 1: time for it in the interest, sure you can certainly 841 00:46:11,200 --> 00:46:14,479 Speaker 1: find great deals. Take a look at their checkoutlines. They've 842 00:46:14,480 --> 00:46:18,479 Speaker 1: got the time. I would I would guess what else 843 00:46:18,600 --> 00:46:21,320 Speaker 1: is is striking you as interesting and different these days? 844 00:46:21,320 --> 00:46:24,560 Speaker 1: What's really capturing your attention? I think the things that 845 00:46:24,560 --> 00:46:28,520 Speaker 1: are capturing my attention is companies overall that are updating 846 00:46:28,560 --> 00:46:30,920 Speaker 1: and enhancing their brands. What are they doing with the 847 00:46:30,960 --> 00:46:34,000 Speaker 1: investment in technology in terms of data, How are they 848 00:46:34,120 --> 00:46:38,120 Speaker 1: enhancing speed? How are you incorporating that's so called experience 849 00:46:38,239 --> 00:46:42,480 Speaker 1: or collaborative engagement. Food matters and being able to create 850 00:46:42,520 --> 00:46:46,440 Speaker 1: an event that marries the whether it's food, whether it's 851 00:46:46,440 --> 00:46:49,160 Speaker 1: an activity, that's what's that's what interesting. It's not just 852 00:46:49,200 --> 00:46:51,959 Speaker 1: about selling an item, it's selling the experience. So let's 853 00:46:51,960 --> 00:46:54,319 Speaker 1: talk about the technology side of this a little bit. 854 00:46:54,360 --> 00:46:56,920 Speaker 1: And I don't mean Apple or Amazon. I mean the 855 00:46:57,080 --> 00:47:01,080 Speaker 1: traditional retailers. What are they doing to take advantage of 856 00:47:01,840 --> 00:47:04,360 Speaker 1: the fact that everyone walks around with the supercomputer in 857 00:47:04,400 --> 00:47:08,200 Speaker 1: their pocket? How are they using that loyalty programs? A 858 00:47:08,200 --> 00:47:11,200 Speaker 1: lot of retailers today are enhancing and updating their loyalty 859 00:47:11,239 --> 00:47:14,239 Speaker 1: programs so that they know the preferences of those consumers. 860 00:47:14,480 --> 00:47:17,600 Speaker 1: That's what technology allows them to do today. It used 861 00:47:17,640 --> 00:47:20,759 Speaker 1: to be just around ten of CAPEX spending was spent 862 00:47:20,880 --> 00:47:23,719 Speaker 1: on technology. Now for some retailers it could be up 863 00:47:26,000 --> 00:47:32,560 Speaker 1: Is there anything competitive with the UH with the Starbucks app? 864 00:47:32,760 --> 00:47:36,040 Speaker 1: I know that when I come into the city as 865 00:47:36,080 --> 00:47:38,520 Speaker 1: soon as I'm above ground. The first thing I do 866 00:47:38,600 --> 00:47:40,799 Speaker 1: is order breakfast and a cup of falls. Pretty easy, 867 00:47:40,840 --> 00:47:43,400 Speaker 1: isn't it. And and by the time there's a Starbucks 868 00:47:43,560 --> 00:47:46,479 Speaker 1: on the ground floor of my building, by the time 869 00:47:46,520 --> 00:47:49,279 Speaker 1: I walk the three blocks to the building that are 870 00:47:49,360 --> 00:47:51,560 Speaker 1: they walk intore like here, they're handing it to you. 871 00:47:51,880 --> 00:47:56,000 Speaker 1: There's no interaction with a cash register. It's the easiest 872 00:47:56,040 --> 00:47:57,520 Speaker 1: thing in the world. And I always look at the 873 00:47:57,520 --> 00:48:01,200 Speaker 1: people online and wonder how come they haven't figured out 874 00:48:01,440 --> 00:48:04,200 Speaker 1: the app is so awesome. I think people need to 875 00:48:04,280 --> 00:48:05,960 Speaker 1: know more about it, And I agree with you, But 876 00:48:06,040 --> 00:48:08,480 Speaker 1: think about the other cultural changes there? What about Uber? 877 00:48:08,600 --> 00:48:11,480 Speaker 1: What about left Those are the other things too, So 878 00:48:11,480 --> 00:48:15,800 Speaker 1: so what does Uber do for retailers because I recall 879 00:48:15,880 --> 00:48:18,839 Speaker 1: hearing at one point in time people wanted to use 880 00:48:19,000 --> 00:48:22,680 Speaker 1: Uber as a delivery service, for physical delivery service or 881 00:48:22,800 --> 00:48:24,920 Speaker 1: take them to the mall or now look at people 882 00:48:25,120 --> 00:48:27,560 Speaker 1: when they're going out at night to have dinner and 883 00:48:27,560 --> 00:48:29,360 Speaker 1: if they're having something to drink, they don't need to 884 00:48:29,440 --> 00:48:32,280 Speaker 1: drive themselves. So there's a service. We were just talking 885 00:48:32,280 --> 00:48:36,160 Speaker 1: about this yesterday over dinner. There there's two interesting services 886 00:48:36,200 --> 00:48:38,200 Speaker 1: that are both local. I don't know if they're national. 887 00:48:38,600 --> 00:48:42,440 Speaker 1: One is called Via, which isn't It's sort of like 888 00:48:42,560 --> 00:48:45,799 Speaker 1: a group uber and it's just going north south on 889 00:48:45,840 --> 00:48:49,239 Speaker 1: the main thoroughfares in Manhattan and East West and you 890 00:48:49,239 --> 00:48:51,239 Speaker 1: get in, it's five bucks and they take you to 891 00:48:51,239 --> 00:48:53,799 Speaker 1: wherever you're going and then you get out, and it's 892 00:48:53,840 --> 00:48:57,680 Speaker 1: basically a group uber. And the other I'm trying to 893 00:48:57,680 --> 00:49:01,680 Speaker 1: remember you used it. I haven't, but people for sure, 894 00:49:02,239 --> 00:49:04,440 Speaker 1: especially if you're coming from Penn Station and you have 895 00:49:04,440 --> 00:49:07,279 Speaker 1: to go go Cross Down or or anything like that. 896 00:49:07,400 --> 00:49:09,480 Speaker 1: The other one I heard about is kind of fascinating. 897 00:49:09,960 --> 00:49:11,920 Speaker 1: You're out on a Friday night and I don't know 898 00:49:11,920 --> 00:49:14,560 Speaker 1: if this is in Manhattan, but I know it's definitely 899 00:49:14,560 --> 00:49:19,640 Speaker 1: on Long Island. You you order a driver, and what 900 00:49:19,680 --> 00:49:22,359 Speaker 1: I mean by that is a car will show up, 901 00:49:22,560 --> 00:49:25,960 Speaker 1: someone will come out. They will get in your car 902 00:49:26,040 --> 00:49:29,799 Speaker 1: and drive you home, followed by the other car who 903 00:49:29,800 --> 00:49:31,839 Speaker 1: then picks them up and takes them wherever they want 904 00:49:31,840 --> 00:49:34,120 Speaker 1: to go. I heard of. That's very smart. No do 905 00:49:34,320 --> 00:49:37,960 Speaker 1: we know worrying about driving under the influence. It's hey, 906 00:49:38,000 --> 00:49:41,360 Speaker 1: we could go out, we don't need to. Very smart. 907 00:49:41,880 --> 00:49:45,480 Speaker 1: And it's that's actual legitimate business. That's amazing, isn't it. 908 00:49:45,520 --> 00:49:47,839 Speaker 1: I think there's all new services and businesses that are 909 00:49:47,840 --> 00:49:51,800 Speaker 1: being created. Look at look at Postmates for example, no Postmates. 910 00:49:52,040 --> 00:49:53,680 Speaker 1: Let's say you want a let's say you want a 911 00:49:53,719 --> 00:49:56,160 Speaker 1: channel lipstick you're going out or whatever it is, which 912 00:49:56,280 --> 00:49:58,560 Speaker 1: whatever cosmetics you want, but you don't have time to 913 00:49:58,640 --> 00:50:02,279 Speaker 1: go to an either st wars. You can basically order 914 00:50:02,320 --> 00:50:05,160 Speaker 1: it and they'll deliver to you physically to you, not 915 00:50:05,239 --> 00:50:09,120 Speaker 1: through the mail. It's messenger to you. And look at 916 00:50:09,120 --> 00:50:12,200 Speaker 1: like netaport Netaporte. They're getting goods to you within an 917 00:50:12,239 --> 00:50:15,799 Speaker 1: hour or two hours. That's that's really high end stuff though, 918 00:50:15,840 --> 00:50:18,279 Speaker 1: isn't it? Is that going to work its way down 919 00:50:18,320 --> 00:50:21,360 Speaker 1: to the to us pleabs. It's working in urban areas 920 00:50:21,880 --> 00:50:24,920 Speaker 1: there's a density, so it's a combination of income density 921 00:50:25,400 --> 00:50:28,680 Speaker 1: and delivery is relatively easy. You're not covering a lot 922 00:50:28,719 --> 00:50:31,480 Speaker 1: of a lot of square footage. So I know I 923 00:50:31,600 --> 00:50:33,880 Speaker 1: only have you for a finite amount of time before 924 00:50:34,120 --> 00:50:37,399 Speaker 1: before you have to go on with your day. Let 925 00:50:37,560 --> 00:50:39,640 Speaker 1: let me go to some of my favorite questions that 926 00:50:39,719 --> 00:50:43,520 Speaker 1: I asked all of my guests. Um, we started talking 927 00:50:43,560 --> 00:50:47,280 Speaker 1: about your background with Ron Barron, So you went from 928 00:50:47,640 --> 00:50:50,440 Speaker 1: Ron Barron to C. J. Lawrence to Bear is that exactly? 929 00:50:50,920 --> 00:50:55,719 Speaker 1: And so you were at was c J. Lawrence where 930 00:50:55,719 --> 00:50:58,840 Speaker 1: they acquired or they were acquired by Deutsche Bank exactly? 931 00:50:59,040 --> 00:51:01,040 Speaker 1: All right? So how long were you therefore? I was 932 00:51:01,080 --> 00:51:03,719 Speaker 1: at Barren Capital for seven years, I was at c J. 933 00:51:03,880 --> 00:51:06,360 Speaker 1: Lawrence for three years, and I was at bear Stearns 934 00:51:06,440 --> 00:51:09,839 Speaker 1: for twelve years. And if memory serves, I don't want 935 00:51:09,840 --> 00:51:13,520 Speaker 1: to embarrass you or anything, but you left Bear pretty 936 00:51:13,560 --> 00:51:16,359 Speaker 1: well timed, if if I got that right, I left 937 00:51:16,360 --> 00:51:18,560 Speaker 1: to know six before it went away in two thousand eight, 938 00:51:18,600 --> 00:51:21,200 Speaker 1: and I hope you managed to liquidate some of your stock. 939 00:51:21,920 --> 00:51:24,080 Speaker 1: I was fortunate to be fortunate enough to be able 940 00:51:24,120 --> 00:51:26,279 Speaker 1: to start TAG. TAG had been in the in the 941 00:51:26,320 --> 00:51:29,680 Speaker 1: planning for a couple of years, and now we're gonna 942 00:51:29,680 --> 00:51:33,840 Speaker 1: be celebrating our eleventh birthday. So we really haven't talked 943 00:51:34,719 --> 00:51:38,240 Speaker 1: at all about you as a woman working on Wall Street. 944 00:51:38,760 --> 00:51:41,000 Speaker 1: Bear Stearns had a reputation as a kind of rough 945 00:51:41,040 --> 00:51:44,520 Speaker 1: and tumbled place, But you don't strike me as a shrinking, 946 00:51:44,600 --> 00:51:47,640 Speaker 1: violent or anything like that. And I've asked this to 947 00:51:47,719 --> 00:51:50,719 Speaker 1: all the women I've interviewed. What's it like being a 948 00:51:50,760 --> 00:51:56,880 Speaker 1: woman in an environment that sometimes is just overwrought with 949 00:51:56,880 --> 00:52:01,880 Speaker 1: with male stupidity. I think, prove your capability and show 950 00:52:01,960 --> 00:52:06,840 Speaker 1: that you're capable, that you're able, that you can drive 951 00:52:06,920 --> 00:52:11,399 Speaker 1: market share, can drive business and it works. The capability 952 00:52:11,480 --> 00:52:13,839 Speaker 1: is what I'm all about. Being able to show that 953 00:52:14,120 --> 00:52:17,520 Speaker 1: you have the ability, that you're recognized by clients, and 954 00:52:17,600 --> 00:52:19,640 Speaker 1: that you do just as good work, if not better 955 00:52:19,680 --> 00:52:22,000 Speaker 1: than others. So I believe in the ability of people. 956 00:52:22,040 --> 00:52:24,719 Speaker 1: So it's a true meritocracy. That's what I believe in. 957 00:52:25,000 --> 00:52:28,279 Speaker 1: Show what you can do that that works. Tell us 958 00:52:28,320 --> 00:52:30,840 Speaker 1: a little bit about some of your early mentors. Obviously 959 00:52:30,960 --> 00:52:33,320 Speaker 1: Ron Barren, John Barron, who taught me about everything that 960 00:52:33,360 --> 00:52:36,080 Speaker 1: I've known. I mean, SIGs A Gallis at Jennison is 961 00:52:36,120 --> 00:52:38,239 Speaker 1: just someone I look up to every day and in 962 00:52:38,360 --> 00:52:40,680 Speaker 1: terms of what he's doing. I mean, I've watched Mario 963 00:52:40,760 --> 00:52:44,880 Speaker 1: Gabelly for years and watched his success in creating value 964 00:52:44,880 --> 00:52:47,359 Speaker 1: and how he thinks about value companies. So it's so 965 00:52:47,400 --> 00:52:50,520 Speaker 1: many of these money managers who have been so influential 966 00:52:50,520 --> 00:52:53,520 Speaker 1: in and what I do. Bill Miller at leg Mason, 967 00:52:53,560 --> 00:52:55,160 Speaker 1: I mean, he was one of the first investors I 968 00:52:55,200 --> 00:52:58,360 Speaker 1: met on the South Side, and his his ability to 969 00:52:58,440 --> 00:53:04,160 Speaker 1: glean insights was trumendous. Both Goobelly and Miller have been 970 00:53:04,200 --> 00:53:08,239 Speaker 1: guests on the show. They're fascinating, fascinating guys. Miller said 971 00:53:08,280 --> 00:53:10,960 Speaker 1: something that I thought was so astute. I mean, Belly 972 00:53:11,000 --> 00:53:14,360 Speaker 1: said a million things that and and he was really fascinating. 973 00:53:14,719 --> 00:53:17,440 Speaker 1: Miller said, you know the problem with active management is 974 00:53:17,440 --> 00:53:20,680 Speaker 1: an active management. It's that most of the active managers 975 00:53:20,680 --> 00:53:24,120 Speaker 1: are closet indexers. And I've never quite heard it put 976 00:53:24,200 --> 00:53:26,880 Speaker 1: the way he did. He said, if you're gonna be 977 00:53:27,080 --> 00:53:30,000 Speaker 1: if you're gonna be a high cost active manager, you 978 00:53:30,080 --> 00:53:32,160 Speaker 1: have to be different from the index. But if you're 979 00:53:32,200 --> 00:53:35,560 Speaker 1: gonna be a closet indexer and be high cost, of course, 980 00:53:35,880 --> 00:53:38,800 Speaker 1: of course investors are gonna leave you. What's what's the point. 981 00:53:39,120 --> 00:53:42,440 Speaker 1: He's really quite a fascinating guy. I didn't realize you, uh, 982 00:53:42,800 --> 00:53:46,759 Speaker 1: you had you had known him? Um who Let's talk 983 00:53:46,800 --> 00:53:50,800 Speaker 1: about other investors. Who else influenced your approach to thinking 984 00:53:50,800 --> 00:53:54,080 Speaker 1: about research, thinking about the product you create for for 985 00:53:54,120 --> 00:53:56,400 Speaker 1: the by side investor. I think in terms of the 986 00:53:56,400 --> 00:53:58,560 Speaker 1: product that we create for the by side investor, you 987 00:53:58,640 --> 00:54:01,040 Speaker 1: have to be able to answer all from types of questions. 988 00:54:01,320 --> 00:54:03,480 Speaker 1: You look at investors who are growth investors, You look 989 00:54:03,520 --> 00:54:06,359 Speaker 1: at GARP investors, you look at deep value investors. So 990 00:54:06,400 --> 00:54:09,520 Speaker 1: you have to be able to answer those questions. And 991 00:54:09,560 --> 00:54:12,400 Speaker 1: basically what I learned about look at Steve Mandel. Steve 992 00:54:12,440 --> 00:54:14,959 Speaker 1: Mandel of Lone Pine. I was in his group years 993 00:54:14,960 --> 00:54:17,239 Speaker 1: ago when I was on the buy side, and he 994 00:54:17,320 --> 00:54:19,840 Speaker 1: taught me how to understand brands, and he taught me 995 00:54:19,880 --> 00:54:22,319 Speaker 1: about the three hundred and sixty degree loop of the 996 00:54:22,320 --> 00:54:26,200 Speaker 1: productivity cycle, something that's pretty creative. Explained that what is 997 00:54:26,239 --> 00:54:29,520 Speaker 1: the three sixty degree loop of the productivity cycle. It's basically, 998 00:54:29,560 --> 00:54:32,320 Speaker 1: how do you manage inventory, the velocity which it sells, 999 00:54:32,360 --> 00:54:35,000 Speaker 1: the margin with a marginal which you earn, and the 1000 00:54:35,360 --> 00:54:39,160 Speaker 1: turner of the inventory to help drive earnings growth. And 1001 00:54:39,239 --> 00:54:42,000 Speaker 1: so that's consistent and that takes place, so that that 1002 00:54:42,000 --> 00:54:46,000 Speaker 1: that makes some sense um any other investors really changed 1003 00:54:46,040 --> 00:54:49,080 Speaker 1: the way you think about about retail. I think in 1004 00:54:49,160 --> 00:54:51,880 Speaker 1: terms of thinking about retail, I think it's a host 1005 00:54:51,920 --> 00:54:55,400 Speaker 1: of investors. There isn't and frankly it's company executives. To 1006 00:54:55,960 --> 00:54:59,200 Speaker 1: Less Wexner, for example, of L Brands, I learned something 1007 00:54:59,200 --> 00:55:01,960 Speaker 1: new from him every time because to me, he's the 1008 00:55:02,000 --> 00:55:04,480 Speaker 1: dean of retail and he sees into the future, and 1009 00:55:04,520 --> 00:55:07,799 Speaker 1: he always makes his brand younger and younger. That's how 1010 00:55:07,840 --> 00:55:10,840 Speaker 1: he stays relevant. So I think that's something that's to 1011 00:55:10,920 --> 00:55:16,279 Speaker 1: be gleaned and watched carefully. Michael Gould, former CEO Bloomingdale's 1012 00:55:16,320 --> 00:55:20,359 Speaker 1: Michael glued Gould. Complete engagement with the customer, engagement with 1013 00:55:20,440 --> 00:55:23,680 Speaker 1: his staff, that's what makes the experience and what he 1014 00:55:23,719 --> 00:55:28,399 Speaker 1: created so special. I did a show, um, I think 1015 00:55:28,400 --> 00:55:31,719 Speaker 1: it was Stephanie Rule early one morning and I had 1016 00:55:31,800 --> 00:55:34,680 Speaker 1: never met Gould before, and I have no idea who 1017 00:55:34,680 --> 00:55:37,320 Speaker 1: this gentleman is sitting next to me. And we started 1018 00:55:37,320 --> 00:55:41,000 Speaker 1: this conversation about retail. And during the break, I turned 1019 00:55:41,040 --> 00:55:44,319 Speaker 1: to Stephanie, go, this guy's great. Who is he? And 1020 00:55:44,400 --> 00:55:49,520 Speaker 1: I believe the comment was idiot, that's the head of Bloomingdale's. 1021 00:55:49,520 --> 00:55:51,960 Speaker 1: Although it's Stephanie. So it was a little sold. Michael 1022 00:55:51,960 --> 00:55:56,600 Speaker 1: Gould's belief in people, his training and mentorship, best in class. 1023 00:55:56,640 --> 00:55:58,759 Speaker 1: He was really really the one time I met him, 1024 00:55:58,760 --> 00:56:02,200 Speaker 1: he very much. Uh, he he very much stayed with me. 1025 00:56:02,560 --> 00:56:05,239 Speaker 1: Let's talk a little bit about books. It's always a 1026 00:56:05,280 --> 00:56:08,040 Speaker 1: favorite subject here. What are some of your favorite books? 1027 00:56:08,080 --> 00:56:11,320 Speaker 1: And I don't care if it's fiction, non fiction, investing 1028 00:56:11,360 --> 00:56:13,560 Speaker 1: related or not. What do you like to read. I 1029 00:56:13,640 --> 00:56:16,640 Speaker 1: love to read all the periodicals. I'm a huge Barons reader, 1030 00:56:16,680 --> 00:56:20,960 Speaker 1: Wall Street Journal, Business Week reader. I do Financial Times, 1031 00:56:21,320 --> 00:56:24,520 Speaker 1: and then I read what's relevant to my industry, Women's Where, Daily, 1032 00:56:24,640 --> 00:56:28,160 Speaker 1: Business of Fashion. I like staying current because I don't 1033 00:56:28,160 --> 00:56:30,840 Speaker 1: believe you can look back. I'm all about looking forward. 1034 00:56:31,320 --> 00:56:36,040 Speaker 1: So the list you just named, that's forty hours a 1035 00:56:36,040 --> 00:56:39,839 Speaker 1: week worth of reading easily. You're you're plowing through all 1036 00:56:39,880 --> 00:56:42,160 Speaker 1: those periodicals. That's so I get to the office five 1037 00:56:42,160 --> 00:56:44,280 Speaker 1: in the morning. Got to be able to know what's happening. 1038 00:56:44,400 --> 00:56:47,040 Speaker 1: Women's Where Delhi is still very relevant. Yes it is. 1039 00:56:47,320 --> 00:56:49,720 Speaker 1: It's relevant to the industry. It gives you a pulse. 1040 00:56:50,000 --> 00:56:53,440 Speaker 1: Business of Fashion is relevant to w gs N is 1041 00:56:53,600 --> 00:56:57,120 Speaker 1: very relevant. What is Business of Fashion? Basically takes key 1042 00:56:57,160 --> 00:57:00,800 Speaker 1: topics in the consumer world and talk about how different 1043 00:57:00,800 --> 00:57:05,400 Speaker 1: companies are integrated, are being integrated literally business effects. I 1044 00:57:05,400 --> 00:57:07,960 Speaker 1: don't even know such a thing existed. That's that's fascinating. 1045 00:57:08,120 --> 00:57:09,960 Speaker 1: And the last one you mentioned, the other one right 1046 00:57:10,000 --> 00:57:13,359 Speaker 1: after that, w gs N interesting. W was a big 1047 00:57:13,400 --> 00:57:15,640 Speaker 1: magazine for a long and it still is. It's not 1048 00:57:15,680 --> 00:57:17,760 Speaker 1: Women's Where. It's not the same as women's wear daily, 1049 00:57:17,800 --> 00:57:19,760 Speaker 1: but it still is and there isn't any of those 1050 00:57:19,760 --> 00:57:22,280 Speaker 1: fashion magazines. I don't read too because I want to 1051 00:57:22,320 --> 00:57:24,840 Speaker 1: pick up on the trends. So you'll so if you're 1052 00:57:25,040 --> 00:57:27,240 Speaker 1: thumbing through a Glamour or a a Red Book or whatever, 1053 00:57:27,880 --> 00:57:33,280 Speaker 1: you're actually seeing things that you might not see elsewhere. 1054 00:57:33,360 --> 00:57:35,760 Speaker 1: And I'll go back to merchants, say, wait, I now 1055 00:57:35,840 --> 00:57:40,520 Speaker 1: saw six dark maroon boots. Is dark maroon the trend 1056 00:57:40,520 --> 00:57:43,360 Speaker 1: that I should be noticing Because I'm a believer in patterns. 1057 00:57:43,520 --> 00:57:47,280 Speaker 1: If you both put together patterns, patterns can become reality 1058 00:57:47,280 --> 00:57:50,160 Speaker 1: of what consumers adopt. And I'm all out there trying 1059 00:57:50,160 --> 00:57:54,120 Speaker 1: to understand what they're adopting now, what they're not adopting now, 1060 00:57:54,240 --> 00:57:56,120 Speaker 1: and what the future could be. So if enough people 1061 00:57:56,160 --> 00:57:58,560 Speaker 1: are advertising and enough people are seeing it, enough people 1062 00:57:58,600 --> 00:58:01,440 Speaker 1: are buying it, that that becomes a full blown trend. 1063 00:58:01,520 --> 00:58:04,280 Speaker 1: And marrying that with the quantitative, what could that mean 1064 00:58:04,320 --> 00:58:07,520 Speaker 1: to sales? What could that mean to margins? Which companies 1065 00:58:07,560 --> 00:58:11,840 Speaker 1: doesn't benefit? That's the story of retail analysis. So you've 1066 00:58:11,840 --> 00:58:16,280 Speaker 1: been covering retail for over time years, Um, what's changed 1067 00:58:16,320 --> 00:58:19,960 Speaker 1: since you joined the industry? What is different about covering 1068 00:58:20,000 --> 00:58:24,080 Speaker 1: retail stocks? Today than than when you started. Everything, everything 1069 00:58:24,320 --> 00:58:27,560 Speaker 1: and everything in terms of how fast goods are produced, 1070 00:58:28,080 --> 00:58:35,080 Speaker 1: how you learn about goods, emailing, blogging, instagramming, what what's changes? 1071 00:58:35,320 --> 00:58:39,320 Speaker 1: Physical stores they're smaller. What's changed? Some of them smaller 1072 00:58:39,360 --> 00:58:43,000 Speaker 1: in terms of size, And there's definitely more destinations spending. 1073 00:58:43,400 --> 00:58:46,560 Speaker 1: What about online? And what about the global reach? So 1074 00:58:46,760 --> 00:58:50,000 Speaker 1: everything's changed about retailing and what it is today. I 1075 00:58:50,120 --> 00:58:52,120 Speaker 1: know it won't be in ten years, but I'm going 1076 00:58:52,160 --> 00:58:54,400 Speaker 1: to be there to watch every path of it. Because remember, 1077 00:58:54,440 --> 00:58:56,400 Speaker 1: I've got a grandmother who's a hundred and two years old. 1078 00:58:59,240 --> 00:59:01,120 Speaker 1: God bless you. So so you have good genes and 1079 00:59:01,200 --> 00:59:02,600 Speaker 1: you're going to be doing this for a long time. 1080 00:59:02,680 --> 00:59:04,680 Speaker 1: Not a job, it's my life. I wake up in 1081 00:59:04,760 --> 00:59:11,040 Speaker 1: the morning. That's really impressive. Thank you. Um that that's 1082 00:59:11,040 --> 00:59:13,040 Speaker 1: some really good genes. Well, we'll take some blood from 1083 00:59:13,080 --> 00:59:15,280 Speaker 1: you on the way out to run a we'll run 1084 00:59:15,320 --> 00:59:18,680 Speaker 1: a little genetic study. UM. So we just you talked 1085 00:59:18,680 --> 00:59:21,240 Speaker 1: about all the things that have changed, and then the 1086 00:59:21,280 --> 00:59:22,960 Speaker 1: other big thing is going to be I believe in 1087 00:59:23,000 --> 00:59:27,920 Speaker 1: this theory of ization, personalization, theory ofation. So how a 1088 00:59:28,040 --> 00:59:29,840 Speaker 1: company is gonna be different? Because now if you know 1089 00:59:29,880 --> 00:59:34,640 Speaker 1: more about the customer, there's personalization, there is localization out there, 1090 00:59:35,080 --> 00:59:40,040 Speaker 1: there is customization out there, and regionalization. So now businesses 1091 00:59:40,080 --> 00:59:43,400 Speaker 1: that were big become smaller to the blending of mobile 1092 00:59:43,400 --> 00:59:47,280 Speaker 1: and technology are very influential to consumer spending and they're 1093 00:59:47,320 --> 00:59:49,520 Speaker 1: only going to become more so. And what that could 1094 00:59:49,520 --> 00:59:54,400 Speaker 1: give you opportunity, give sales opportunity, and it gives margin opportunity. Hello, 1095 00:59:54,480 --> 00:59:58,120 Speaker 1: earnings growth. So you just answered my next question. What 1096 00:59:58,560 --> 01:00:02,680 Speaker 1: that was past? What what's few? Um? So let me 1097 01:00:02,680 --> 01:00:05,480 Speaker 1: shift gears. This is a question that always comes from 1098 01:00:05,840 --> 01:00:08,880 Speaker 1: a certain email or what do you do outside of 1099 01:00:08,920 --> 01:00:11,800 Speaker 1: the office to stay physically fit? What do you do 1100 01:00:11,840 --> 01:00:14,920 Speaker 1: to stay mentally acute? And what do you just do 1101 01:00:15,040 --> 01:00:19,000 Speaker 1: to relax or for enjoyment when you're not shopping. So basically, 1102 01:00:20,600 --> 01:00:23,080 Speaker 1: by the way, I shouldn't say that, because I don't 1103 01:00:23,080 --> 01:00:25,040 Speaker 1: mean it in a denigrating way, but I know they're 1104 01:00:25,080 --> 01:00:28,200 Speaker 1: gonna be some when you're out doing My wife and 1105 01:00:28,200 --> 01:00:30,919 Speaker 1: I call joking. We call it economic research. When you're 1106 01:00:30,960 --> 01:00:34,080 Speaker 1: out doing research. When you're out in retail stores, I 1107 01:00:34,120 --> 01:00:37,320 Speaker 1: don't mean shopping in a I hope that doesn't come 1108 01:00:38,080 --> 01:00:39,880 Speaker 1: because because you know what I mean, when you're out 1109 01:00:39,960 --> 01:00:45,360 Speaker 1: looking at stores when you're kicking tires. Effectively you're out 1110 01:00:45,440 --> 01:00:49,800 Speaker 1: in store shopping. When you're not doing that, I'm doing 1111 01:00:49,800 --> 01:00:55,120 Speaker 1: that all the time by walking, traveling, swimming or all 1112 01:00:55,120 --> 01:00:58,200 Speaker 1: the things. Going to restaurants. I want to see culture 1113 01:00:58,640 --> 01:01:00,280 Speaker 1: and be able to see how that in great c 1114 01:01:00,320 --> 01:01:03,160 Speaker 1: into retail. And what do you do to relax if 1115 01:01:03,160 --> 01:01:06,040 Speaker 1: you want to just kick back. That's the walking part, 1116 01:01:06,120 --> 01:01:08,680 Speaker 1: I mean, that's what it is. I mean, that's being 1117 01:01:08,800 --> 01:01:12,240 Speaker 1: outside and seeing the sky because we're always in offices 1118 01:01:12,280 --> 01:01:15,880 Speaker 1: all the time, and seeing what's new, and typing like up, 1119 01:01:15,920 --> 01:01:18,080 Speaker 1: here's the trend, here's a trend. You gotta because you're 1120 01:01:18,120 --> 01:01:20,600 Speaker 1: not gonna remember things right away, so I love typing 1121 01:01:20,720 --> 01:01:24,880 Speaker 1: and just writing it down. That's really that's really interesting. Um, 1122 01:01:24,920 --> 01:01:27,920 Speaker 1: all right, My last two questions, these are my favorite questions. 1123 01:01:28,480 --> 01:01:30,640 Speaker 1: If a millennial were to come to you or someone 1124 01:01:30,720 --> 01:01:34,240 Speaker 1: just starting their career and say, I'm interested in becoming 1125 01:01:34,240 --> 01:01:36,800 Speaker 1: a retail analyst, what sort of advice would you give them. 1126 01:01:36,880 --> 01:01:40,520 Speaker 1: I'd say, find a category, find a topic that you 1127 01:01:40,560 --> 01:01:42,280 Speaker 1: love that you want to be an expert at. Think 1128 01:01:42,280 --> 01:01:44,280 Speaker 1: about it. I was fortunate Ron Baron gave me the 1129 01:01:44,320 --> 01:01:47,680 Speaker 1: opportunity I tried trading, I tried being a salesperson, and 1130 01:01:47,720 --> 01:01:50,560 Speaker 1: I found I loved the ten k's, the ten queues 1131 01:01:50,800 --> 01:01:53,720 Speaker 1: and understanding companies. Find out something that you love that 1132 01:01:53,760 --> 01:01:55,520 Speaker 1: you want to spend all the time at to become 1133 01:01:55,560 --> 01:01:58,800 Speaker 1: an expert. Being an expert gives you the ability to 1134 01:01:59,800 --> 01:02:02,840 Speaker 1: have answers or be able to be valued and to 1135 01:02:02,880 --> 01:02:05,320 Speaker 1: have insight. And that's what you have to find. Find 1136 01:02:05,360 --> 01:02:08,520 Speaker 1: a mentor who you can learn from. That's quite interesting. 1137 01:02:09,000 --> 01:02:12,720 Speaker 1: And my final question before we get thrown out of here, Um, 1138 01:02:12,760 --> 01:02:16,480 Speaker 1: what is it that you know about covering retail today 1139 01:02:16,520 --> 01:02:19,640 Speaker 1: that you wish you knew when you started those years ago? 1140 01:02:20,760 --> 01:02:24,080 Speaker 1: What pitfalls companies can get into and how they can 1141 01:02:24,080 --> 01:02:26,760 Speaker 1: emerge from them. So give us a couple of examples 1142 01:02:26,800 --> 01:02:30,440 Speaker 1: that that's a that's a fascinating thing because very often 1143 01:02:30,480 --> 01:02:32,560 Speaker 1: we fall in love with these companies and the next 1144 01:02:32,600 --> 01:02:35,440 Speaker 1: thing we know, they stumble, and hey, how did that happen? 1145 01:02:35,560 --> 01:02:37,880 Speaker 1: And and how do they turn themselves around? So, look, 1146 01:02:37,880 --> 01:02:42,080 Speaker 1: you have companies like a coach. It's stumbled that became overdistributed. 1147 01:02:42,200 --> 01:02:45,600 Speaker 1: Now it's become less distributed. They reinvigorate when you say 1148 01:02:45,600 --> 01:02:49,480 Speaker 1: over distributed. They were somewhat of a limited in too 1149 01:02:49,480 --> 01:02:52,360 Speaker 1: many department store and then then they were once they're everywhere, 1150 01:02:52,720 --> 01:02:55,800 Speaker 1: they lose a little PRIs and also managing their stores 1151 01:02:55,840 --> 01:02:59,320 Speaker 1: more carefully, investing in marketing. Look at all brands. What's 1152 01:02:59,360 --> 01:03:01,840 Speaker 1: happening now. L Brand's got rid of is getting rid 1153 01:03:01,840 --> 01:03:04,840 Speaker 1: of swimwear. They're reducing the level of promotions to come 1154 01:03:04,840 --> 01:03:08,240 Speaker 1: out a healthier brand and attract younger, younger consumers. So 1155 01:03:08,640 --> 01:03:11,680 Speaker 1: you have to evaluate when a brand stumbles, is there 1156 01:03:11,680 --> 01:03:14,160 Speaker 1: a way back or is there just not a way back? 1157 01:03:14,360 --> 01:03:17,200 Speaker 1: When you look at for example, today, you just had 1158 01:03:17,280 --> 01:03:21,680 Speaker 1: the apparel company UM Limited Brands, which is the old 1159 01:03:21,680 --> 01:03:24,600 Speaker 1: apparel Sour. It's not part of Limited UM. You just 1160 01:03:24,640 --> 01:03:27,800 Speaker 1: had that file for chapter eleven didn't come back. Why 1161 01:03:27,880 --> 01:03:31,280 Speaker 1: they didn't provide differentiation When you think of other companies, 1162 01:03:31,320 --> 01:03:36,400 Speaker 1: providing differentiation is what allows you to survive. That's the key. 1163 01:03:36,840 --> 01:03:39,640 Speaker 1: We have been speaking with Dana Telsey of the Telsey 1164 01:03:39,800 --> 01:03:43,600 Speaker 1: Advisory Group. If you enjoy this conversation, be sure and 1165 01:03:43,720 --> 01:03:45,480 Speaker 1: look up an inch or down on the inch on 1166 01:03:45,560 --> 01:03:48,600 Speaker 1: Apple iTunes and you can see any of the other 1167 01:03:48,760 --> 01:03:53,439 Speaker 1: hundred and ten or so such prior conversations. We love 1168 01:03:53,480 --> 01:03:56,640 Speaker 1: your comments and feedback, be sure and email us at 1169 01:03:57,360 --> 01:04:01,560 Speaker 1: m IB podcast at Bloomberg dot net. If people want 1170 01:04:01,560 --> 01:04:03,800 Speaker 1: to find your work. I forgot to ask you this before. 1171 01:04:04,560 --> 01:04:08,439 Speaker 1: It's donel me Detaelsey at Telsea Group group dot com 1172 01:04:08,680 --> 01:04:12,360 Speaker 1: and the website is Telsea Group dot com. Easy enough. 1173 01:04:13,360 --> 01:04:16,240 Speaker 1: We've been speaking with Dana Telsey. I would be remiss 1174 01:04:16,280 --> 01:04:18,440 Speaker 1: if I did not forget. If I'm going to say 1175 01:04:18,480 --> 01:04:20,960 Speaker 1: that again, I would be remiss if I did not 1176 01:04:21,080 --> 01:04:24,160 Speaker 1: thank Taylor Riggs are Booker and Michael Batnick, the head 1177 01:04:24,160 --> 01:04:27,919 Speaker 1: of research, who helped prepare all of these questions. I'm 1178 01:04:27,960 --> 01:04:31,360 Speaker 1: Barry Ridolts. You've been listening to Masters in Business on 1179 01:04:31,480 --> 01:04:32,440 Speaker 1: Bloomberg Radio.